DevStat - July 23
Number of records: 4565
Number of all NA: 20 (REMOVED FROM NOW ON)
Number of Other gender: 3 (REMOVED FROM NOW ON)
Number of participants have not received any support: NA (REMOVED FROM NOW ON)
Number of Not Valid answers: 0 (REMOVED FROM NOW ON)
Number of answers: 4536
| Nationality | n | % |
|---|---|---|
| Ghana | 980 | 21,6% |
| Iraq | 800 | 17,6% |
| Pakistan | 573 | 12,6% |
| Nigeria | 454 | 10,0% |
| Kosovo | 415 | 9,1% |
| Servia | 414 | 9,1% |
| Gambia | 400 | 8,8% |
| Albania | 360 | 7,9% |
| Tanzania | 140 | 3,1% |
| Total | 4.536 | 100,0% |
| Gender | n | % |
|---|---|---|
| Male | 2.689 | 59,3% |
| Female | 1.847 | 40,7% |
| Total | 4.536 | 100,0% |
| Age | n | % | n | % | n | % |
|---|---|---|---|---|---|---|
| 18-25 | 361 | 44,7% | 447 | 55,3% | 808 | 100,0% |
| 26-35 | 763 | 41,0% | 1097 | 59,0% | 1860 | 100,0% |
| 36-45 | 481 | 39,0% | 753 | 61,0% | 1234 | 100,0% |
| older than 45 | 242 | 38,2% | 392 | 61,8% | 634 | 100,0% |
| Age | n | % | n | % | n | % |
|---|---|---|---|---|---|---|
| 18-25 | 361 | 19,5% | 447 | 16,6% | 808 | 17,8% |
| 26-35 | 763 | 41,3% | 1097 | 40,8% | 1860 | 41,0% |
| 36-45 | 481 | 26,0% | 753 | 28,0% | 1234 | 27,2% |
| older than 45 | 242 | 13,1% | 392 | 14,6% | 634 | 14,0% |
| Total | 1847 | 100,0% | 2689 | 100,0% | 4536 | 100,0% |
| Migration | n | % | n | % | n | % |
|---|---|---|---|---|---|---|
| Local Population | 1308 | 55,5% | 1048 | 44,5% | 2356 | 100,0% |
| Migrants from GER | 312 | 26,9% | 846 | 73,1% | 1158 | 100,0% |
| Migrants from third countries | 227 | 22,2% | 795 | 77,8% | 1022 | 100,0% |
| Migration | n | % | n | % | n | % |
|---|---|---|---|---|---|---|
| Local Population | 1308 | 70,8% | 1048 | 39,0% | 2356 | 51,9% |
| Migrants from GER | 312 | 16,9% | 846 | 31,5% | 1158 | 25,5% |
| Migrants from third countries | 227 | 12,3% | 795 | 29,6% | 1022 | 22,5% |
| Total | 1847 | 100,0% | 2689 | 100,0% | 4536 | 100,0% |
| CountryReturn | n | % | n | % | n | % |
|---|---|---|---|---|---|---|
| Afghanistan | – | – | 2 | 100,0% | 2 | 100,0% |
| Algeria | 1 | 7,7% | 12 | 92,3% | 13 | 100,0% |
| Angola | 1 | 100,0% | – | – | 1 | 100,0% |
| Argentina | 1 | 100,0% | – | – | 1 | 100,0% |
| Armenia | 1 | 100,0% | – | – | 1 | 100,0% |
| Austria | 6 | 11,3% | 47 | 88,7% | 53 | 100,0% |
| Azerbaijan | 1 | 100,0% | – | – | 1 | 100,0% |
| Bahrain | – | – | 5 | 100,0% | 5 | 100,0% |
| Bangladesh | – | – | 1 | 100,0% | 1 | 100,0% |
| Belarus | – | – | 11 | 100,0% | 11 | 100,0% |
| Belgium | 7 | 28,0% | 18 | 72,0% | 25 | 100,0% |
| Bosnia and Herzegovina | – | – | 2 | 100,0% | 2 | 100,0% |
| Bulgaria | – | – | 6 | 100,0% | 6 | 100,0% |
| China | – | – | 4 | 100,0% | 4 | 100,0% |
| Cote d’Ivoire | 1 | 50,0% | 1 | 50,0% | 2 | 100,0% |
| Croatia | 3 | 100,0% | – | – | 3 | 100,0% |
| Cyprus | 3 | 37,5% | 5 | 62,5% | 8 | 100,0% |
| Czechia | 2 | 100,0% | – | – | 2 | 100,0% |
| Denmark | – | – | 3 | 100,0% | 3 | 100,0% |
| Egypt, Arab Rep. | 2 | 66,7% | 1 | 33,3% | 3 | 100,0% |
| Finland | 8 | 15,4% | 44 | 84,6% | 52 | 100,0% |
| France | 13 | 28,9% | 32 | 71,1% | 45 | 100,0% |
| French Polynesia | 1 | 50,0% | 1 | 50,0% | 2 | 100,0% |
| Germany | 312 | 26,9% | 846 | 73,1% | 1158 | 100,0% |
| Ghana | 2 | 66,7% | 1 | 33,3% | 3 | 100,0% |
| Greece | 43 | 31,6% | 93 | 68,4% | 136 | 100,0% |
| Guinea-Bissau | – | – | 1 | 100,0% | 1 | 100,0% |
| Hungary | 1 | 33,3% | 2 | 66,7% | 3 | 100,0% |
| India | 1 | 50,0% | 1 | 50,0% | 2 | 100,0% |
| Iran, Islamic Rep. | – | – | 2 | 100,0% | 2 | 100,0% |
| Iraq | 3 | 100,0% | – | – | 3 | 100,0% |
| Ireland | – | – | 1 | 100,0% | 1 | 100,0% |
| Italy | 3 | 17,6% | 14 | 82,4% | 17 | 100,0% |
| Jordan | 4 | 100,0% | – | – | 4 | 100,0% |
| Korea, Dem. People’s Rep. | – | – | 1 | 100,0% | 1 | 100,0% |
| Korea, Rep. | – | – | 1 | 100,0% | 1 | 100,0% |
| Kuwait | 7 | 77,8% | 2 | 22,2% | 9 | 100,0% |
| Lebanon | 18 | 100,0% | – | – | 18 | 100,0% |
| Liberia | – | – | 2 | 100,0% | 2 | 100,0% |
| Libya | 39 | 46,4% | 45 | 53,6% | 84 | 100,0% |
| Lithuania | – | – | 2 | 100,0% | 2 | 100,0% |
| Luxembourg | 1 | 33,3% | 2 | 66,7% | 3 | 100,0% |
| Malaysia | 1 | 6,2% | 15 | 93,8% | 16 | 100,0% |
| Mali | 1 | 14,3% | 6 | 85,7% | 7 | 100,0% |
| Malta | – | – | 1 | 100,0% | 1 | 100,0% |
| Mauritania | – | – | 10 | 100,0% | 10 | 100,0% |
| Montenegro | – | – | 1 | 100,0% | 1 | 100,0% |
| Morocco | – | – | 4 | 100,0% | 4 | 100,0% |
| Netherlands | 3 | 18,8% | 13 | 81,2% | 16 | 100,0% |
| Niger | – | – | 1 | 100,0% | 1 | 100,0% |
| Nigeria | – | – | 1 | 100,0% | 1 | 100,0% |
| Norway | 2 | 20,0% | 8 | 80,0% | 10 | 100,0% |
| Oman | – | – | 13 | 100,0% | 13 | 100,0% |
| Philippines | – | – | 1 | 100,0% | 1 | 100,0% |
| Poland | 1 | 50,0% | 1 | 50,0% | 2 | 100,0% |
| Qatar | – | – | 11 | 100,0% | 11 | 100,0% |
| Romania | – | – | 4 | 100,0% | 4 | 100,0% |
| Russian Federation | 1 | 33,3% | 2 | 66,7% | 3 | 100,0% |
| Saudi Arabia | 6 | 4,1% | 140 | 95,9% | 146 | 100,0% |
| Senegal | – | – | 8 | 100,0% | 8 | 100,0% |
| Serbia | – | – | 2 | 100,0% | 2 | 100,0% |
| Slovenia | – | – | 1 | 100,0% | 1 | 100,0% |
| South Africa | 3 | 42,9% | 4 | 57,1% | 7 | 100,0% |
| Spain | 1 | 50,0% | 1 | 50,0% | 2 | 100,0% |
| Sweden | 9 | 20,0% | 36 | 80,0% | 45 | 100,0% |
| Switzerland | 6 | 33,3% | 12 | 66,7% | 18 | 100,0% |
| Turkiye | 17 | 32,1% | 36 | 67,9% | 53 | 100,0% |
| United Arab Emirates | 1 | 1,1% | 91 | 98,9% | 92 | 100,0% |
| United Kingdom | 2 | 33,3% | 4 | 66,7% | 6 | 100,0% |
| United States | – | – | 3 | 100,0% | 3 | 100,0% |
| YearReturn | n | % | n | % | n | % |
|---|---|---|---|---|---|---|
| 1.991 | 1 | 100,0% | – | – | 1 | 100,0% |
| 1.996 | 1 | 100,0% | – | – | 1 | 100,0% |
| 1.997 | 1 | 50,0% | 1 | 50,0% | 2 | 100,0% |
| 1.998 | – | – | 2 | 100,0% | 2 | 100,0% |
| 1.999 | 2 | 50,0% | 2 | 50,0% | 4 | 100,0% |
| 2.000 | 5 | 50,0% | 5 | 50,0% | 10 | 100,0% |
| 2.001 | 5 | 35,7% | 9 | 64,3% | 14 | 100,0% |
| 2.002 | 1 | 33,3% | 2 | 66,7% | 3 | 100,0% |
| 2.003 | 2 | 40,0% | 3 | 60,0% | 5 | 100,0% |
| 2.004 | – | – | 4 | 100,0% | 4 | 100,0% |
| 2.005 | 1 | 33,3% | 2 | 66,7% | 3 | 100,0% |
| 2.006 | 1 | 100,0% | – | – | 1 | 100,0% |
| 2.007 | – | – | 6 | 100,0% | 6 | 100,0% |
| 2.008 | 1 | 20,0% | 4 | 80,0% | 5 | 100,0% |
| 2.009 | 2 | 28,6% | 5 | 71,4% | 7 | 100,0% |
| 2.010 | 3 | 20,0% | 12 | 80,0% | 15 | 100,0% |
| 2.011 | 4 | 36,4% | 7 | 63,6% | 11 | 100,0% |
| 2.012 | 6 | 30,0% | 14 | 70,0% | 20 | 100,0% |
| 2.013 | 10 | 27,8% | 26 | 72,2% | 36 | 100,0% |
| 2.014 | 5 | 16,7% | 25 | 83,3% | 30 | 100,0% |
| 2.015 | 38 | 34,9% | 71 | 65,1% | 109 | 100,0% |
| 2.016 | 47 | 29,7% | 111 | 70,3% | 158 | 100,0% |
| 2.017 | 69 | 30,3% | 159 | 69,7% | 228 | 100,0% |
| 2.018 | 77 | 24,2% | 241 | 75,8% | 318 | 100,0% |
| 2.019 | 72 | 21,1% | 270 | 78,9% | 342 | 100,0% |
| 2.020 | 49 | 19,9% | 197 | 80,1% | 246 | 100,0% |
| 2.021 | 61 | 20,4% | 238 | 79,6% | 299 | 100,0% |
| 2.022 | 60 | 22,5% | 207 | 77,5% | 267 | 100,0% |
| 2.023 | 15 | 45,5% | 18 | 54,5% | 33 | 100,0% |
| n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Advisory Center | 734 | 51,1% | 701 | 48,9% | 1435 | 100,0% | 127 | 33,4% | 253 | 66,6% | 380 | 100,0% | 75 | 16,8% | 371 | 83,2% | 446 | 100,0% | 936 | 41,4% | 1325 | 58,6% | 2261 | 100,0% |
| Advisory Center & CSO | 117 | 53,7% | 101 | 46,3% | 218 | 100,0% | 98 | 20,2% | 387 | 79,8% | 485 | 100,0% | 90 | 21,0% | 338 | 79,0% | 428 | 100,0% | 305 | 27,0% | 826 | 73,0% | 1131 | 100,0% |
| Advisory Center & CSO & Other | 4 | 40,0% | 6 | 60,0% | 10 | 100,0% | 9 | 32,1% | 19 | 67,9% | 28 | 100,0% | 1 | 100,0% | – | – | 1 | 100,0% | 14 | 35,9% | 25 | 64,1% | 39 | 100,0% |
| Advisory Center & Other | 16 | 72,7% | 6 | 27,3% | 22 | 100,0% | 7 | 29,2% | 17 | 70,8% | 24 | 100,0% | 1 | 33,3% | 2 | 66,7% | 3 | 100,0% | 24 | 49,0% | 25 | 51,0% | 49 | 100,0% |
| CSO | 433 | 65,5% | 228 | 34,5% | 661 | 100,0% | 67 | 29,0% | 164 | 71,0% | 231 | 100,0% | 58 | 41,1% | 83 | 58,9% | 141 | 100,0% | 558 | 54,0% | 475 | 46,0% | 1033 | 100,0% |
| CSO & Other | – | – | 1 | 100,0% | 1 | 100,0% | 2 | 50,0% | 2 | 50,0% | 4 | 100,0% | 1 | 100,0% | – | – | 1 | 100,0% | 3 | 50,0% | 3 | 50,0% | 6 | 100,0% |
| Other | 4 | 44,4% | 5 | 55,6% | 9 | 100,0% | 2 | 33,3% | 4 | 66,7% | 6 | 100,0% | 1 | 50,0% | 1 | 50,0% | 2 | 100,0% | 7 | 41,2% | 10 | 58,8% | 17 | 100,0% |
| n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Advisory Center | 734 | 56,1% | 701 | 66,9% | 1435 | 60,9% | 127 | 40,7% | 253 | 29,9% | 380 | 32,8% | 75 | 33,0% | 371 | 46,7% | 446 | 43,6% | 936 | 50,7% | 1325 | 49,3% | 2261 | 49,8% |
| Advisory Center & CSO | 117 | 8,9% | 101 | 9,6% | 218 | 9,3% | 98 | 31,4% | 387 | 45,7% | 485 | 41,9% | 90 | 39,6% | 338 | 42,5% | 428 | 41,9% | 305 | 16,5% | 826 | 30,7% | 1131 | 24,9% |
| Advisory Center & CSO & Other | 4 | 0,3% | 6 | 0,6% | 10 | 0,4% | 9 | 2,9% | 19 | 2,2% | 28 | 2,4% | 1 | 0,4% | – | – | 1 | 0,1% | 14 | 0,8% | 25 | 0,9% | 39 | 0,9% |
| Advisory Center & Other | 16 | 1,2% | 6 | 0,6% | 22 | 0,9% | 7 | 2,2% | 17 | 2,0% | 24 | 2,1% | 1 | 0,4% | 2 | 0,3% | 3 | 0,3% | 24 | 1,3% | 25 | 0,9% | 49 | 1,1% |
| CSO | 433 | 33,1% | 228 | 21,8% | 661 | 28,1% | 67 | 21,5% | 164 | 19,4% | 231 | 19,9% | 58 | 25,6% | 83 | 10,4% | 141 | 13,8% | 558 | 30,2% | 475 | 17,7% | 1033 | 22,8% |
| CSO & Other | – | – | 1 | 0,1% | 1 | 0,0% | 2 | 0,6% | 2 | 0,2% | 4 | 0,3% | 1 | 0,4% | – | – | 1 | 0,1% | 3 | 0,2% | 3 | 0,1% | 6 | 0,1% |
| Other | 4 | 0,3% | 5 | 0,5% | 9 | 0,4% | 2 | 0,6% | 4 | 0,5% | 6 | 0,5% | 1 | 0,4% | 1 | 0,1% | 2 | 0,2% | 7 | 0,4% | 10 | 0,4% | 17 | 0,4% |
| n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| F2_guidance | 839 | 52,2% | 769 | 47,8% | 1608 | 100,0% | 119 | 28,6% | 297 | 71,4% | 416 | 100,0% | 107 | 18,1% | 485 | 81,9% | 592 | 100,0% | 1065 | 40,7% | 1551 | 59,3% | 2616 | 100,0% |
| F2_stskills | 838 | 54,2% | 709 | 45,8% | 1547 | 100,0% | 127 | 26,8% | 346 | 73,2% | 473 | 100,0% | 113 | 20,6% | 435 | 79,4% | 548 | 100,0% | 1078 | 42,0% | 1490 | 58,0% | 2568 | 100,0% |
| F2_ltskills | 458 | 58,7% | 322 | 41,3% | 780 | 100,0% | 63 | 32,3% | 132 | 67,7% | 195 | 100,0% | 48 | 32,0% | 102 | 68,0% | 150 | 100,0% | 569 | 50,6% | 556 | 49,4% | 1125 | 100,0% |
| F2_counseling | 480 | 48,0% | 521 | 52,0% | 1001 | 100,0% | 183 | 25,1% | 547 | 74,9% | 730 | 100,0% | 151 | 18,0% | 688 | 82,0% | 839 | 100,0% | 814 | 31,7% | 1756 | 68,3% | 2570 | 100,0% |
| F2_coaching | 322 | 58,8% | 226 | 41,2% | 548 | 100,0% | 45 | 29,8% | 106 | 70,2% | 151 | 100,0% | 52 | 56,5% | 40 | 43,5% | 92 | 100,0% | 419 | 53,0% | 372 | 47,0% | 791 | 100,0% |
| F2_startup | 843 | 57,2% | 631 | 42,8% | 1474 | 100,0% | 170 | 22,4% | 588 | 77,6% | 758 | 100,0% | 159 | 20,5% | 618 | 79,5% | 777 | 100,0% | 1172 | 38,9% | 1837 | 61,1% | 3009 | 100,0% |
| F2_reintegration | 123 | 33,3% | 246 | 66,7% | 369 | 100,0% | 185 | 24,8% | 560 | 75,2% | 745 | 100,0% | 143 | 17,7% | 663 | 82,3% | 806 | 100,0% | 451 | 23,5% | 1469 | 76,5% | 1920 | 100,0% |
| F2_pss | 147 | 63,9% | 83 | 36,1% | 230 | 100,0% | 122 | 35,3% | 224 | 64,7% | 346 | 100,0% | 80 | 48,8% | 84 | 51,2% | 164 | 100,0% | 349 | 47,2% | 391 | 52,8% | 740 | 100,0% |
| F2_other | 509 | 59,7% | 344 | 40,3% | 853 | 100,0% | 273 | 31,3% | 598 | 68,7% | 871 | 100,0% | 109 | 29,2% | 264 | 70,8% | 373 | 100,0% | 891 | 42,5% | 1206 | 57,5% | 2097 | 100,0% |
| n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| F2_guidance | 839 | 64,1% | 769 | 73,4% | 1608 | 68,3% | 119 | 38,1% | 297 | 35,1% | 416 | 35,9% | 107 | 47,1% | 485 | 61,0% | 592 | 57,9% | 1065 | 57,7% | 1551 | 57,7% | 2616 | 57,7% |
| F2_stskills | 838 | 64,1% | 709 | 67,7% | 1547 | 65,7% | 127 | 40,7% | 346 | 40,9% | 473 | 40,8% | 113 | 49,8% | 435 | 54,7% | 548 | 53,6% | 1078 | 58,4% | 1490 | 55,4% | 2568 | 56,6% |
| F2_ltskills | 458 | 35,0% | 322 | 30,7% | 780 | 33,1% | 63 | 20,2% | 132 | 15,6% | 195 | 16,8% | 48 | 21,1% | 102 | 12,8% | 150 | 14,7% | 569 | 30,8% | 556 | 20,7% | 1125 | 24,8% |
| F2_counseling | 480 | 36,7% | 521 | 49,7% | 1001 | 42,5% | 183 | 58,7% | 547 | 64,7% | 730 | 63,0% | 151 | 66,5% | 688 | 86,5% | 839 | 82,1% | 814 | 44,1% | 1756 | 65,3% | 2570 | 56,7% |
| F2_coaching | 322 | 24,6% | 226 | 21,6% | 548 | 23,3% | 45 | 14,4% | 106 | 12,5% | 151 | 13,0% | 52 | 22,9% | 40 | 5,0% | 92 | 9,0% | 419 | 22,7% | 372 | 13,8% | 791 | 17,4% |
| F2_startup | 843 | 64,4% | 631 | 60,2% | 1474 | 62,6% | 170 | 54,5% | 588 | 69,5% | 758 | 65,5% | 159 | 70,0% | 618 | 77,7% | 777 | 76,0% | 1172 | 63,5% | 1837 | 68,3% | 3009 | 66,3% |
| F2_reintegration | 123 | 9,4% | 246 | 23,5% | 369 | 15,7% | 185 | 59,3% | 560 | 66,2% | 745 | 64,3% | 143 | 63,0% | 663 | 83,4% | 806 | 78,9% | 451 | 24,4% | 1469 | 54,6% | 1920 | 42,3% |
| F2_pss | 147 | 11,2% | 83 | 7,9% | 230 | 9,8% | 122 | 39,1% | 224 | 26,5% | 346 | 29,9% | 80 | 35,2% | 84 | 10,6% | 164 | 16,0% | 349 | 18,9% | 391 | 14,5% | 740 | 16,3% |
| F2_other | 509 | 38,9% | 344 | 32,8% | 853 | 36,2% | 273 | 87,5% | 598 | 70,7% | 871 | 75,2% | 109 | 48,0% | 264 | 33,2% | 373 | 36,5% | 891 | 48,2% | 1206 | 44,8% | 2097 | 46,2% |
| n | Mean | n | Mean | n | Mean | n | Mean | n | Mean | n | Mean | n | Mean | n | Mean | n | Mean | n | Mean | n | Mean | n | Mean | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Services received | 1.308 | 3,49 | 1.048 | 3,67 | 2.356 | 3,57 | 312 | 4,12 | 846 | 4,02 | 1.158 | 4,05 | 227 | 4,24 | 795 | 4,25 | 1.022 | 4,25 | 1.847 | 3,69 | 2.689 | 3,95 | 4.536 | 3,84 |
| n | Mean | n | Mean | n | Mean | n | Mean | n | Mean | n | Mean | n | Mean | n | Mean | n | Mean | n | Mean | n | Mean | n | Mean | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| F2_coaching_rate | 322 | 5,05 | 226 | 4,96 | 548 | 5,01 | 45 | 5,18 | 106 | 4,68 | 151 | 4,83 | 52 | 5,35 | 40 | 5,00 | 92 | 5,20 | 419 | 5,10 | 372 | 4,88 | 791 | 5,00 |
| F2_counseling_rate | 480 | 4,93 | 521 | 4,85 | 1.001 | 4,89 | 183 | 4,61 | 547 | 4,48 | 730 | 4,51 | 151 | 4,85 | 688 | 4,33 | 839 | 4,43 | 814 | 4,84 | 1.756 | 4,53 | 2.570 | 4,63 |
| F2_guidance_rate | 839 | 5,03 | 769 | 4,85 | 1.608 | 4,94 | 119 | 4,89 | 297 | 4,68 | 416 | 4,74 | 107 | 5,27 | 485 | 4,43 | 592 | 4,58 | 1.065 | 5,03 | 1.551 | 4,68 | 2.616 | 4,83 |
| F2_ltskills_rate | 458 | 5,14 | 322 | 5,14 | 780 | 5,14 | 63 | 5,19 | 132 | 5,05 | 195 | 5,10 | 48 | 5,44 | 102 | 4,90 | 150 | 5,07 | 569 | 5,17 | 556 | 5,08 | 1.125 | 5,12 |
| F2_other_rate | 216 | 4,42 | 328 | 3,59 | 544 | 3,92 | 49 | 5,06 | 126 | 3,94 | 175 | 4,25 | 35 | 4,69 | 341 | 2,62 | 376 | 2,81 | 300 | 4,56 | 795 | 3,23 | 1.095 | 3,59 |
| F2_pss_rate | 147 | 5,16 | 83 | 4,86 | 230 | 5,05 | 122 | 4,43 | 224 | 4,27 | 346 | 4,33 | 80 | 5,26 | 84 | 4,88 | 164 | 5,07 | 349 | 4,93 | 391 | 4,53 | 740 | 4,71 |
| F2_reintegration_rate | 123 | 4,58 | 246 | 4,71 | 369 | 4,67 | 185 | 4,55 | 560 | 4,34 | 745 | 4,39 | 143 | 4,83 | 663 | 4,45 | 806 | 4,51 | 451 | 4,65 | 1.469 | 4,45 | 1.920 | 4,50 |
| F2_startup_rate | 843 | 5,14 | 631 | 4,90 | 1.474 | 5,04 | 170 | 4,59 | 588 | 4,44 | 758 | 4,47 | 159 | 4,86 | 618 | 4,45 | 777 | 4,54 | 1.172 | 5,02 | 1.837 | 4,60 | 3.009 | 4,76 |
| F2_stskills_rate | 838 | 5,11 | 709 | 4,96 | 1.547 | 5,04 | 127 | 5,41 | 346 | 4,98 | 473 | 5,09 | 113 | 5,42 | 435 | 4,74 | 548 | 4,88 | 1.078 | 5,18 | 1.490 | 4,90 | 2.568 | 5,02 |
| n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | 16 | 20,3% | 63 | 79,7% | 79 | 100,0% | 2 | 15,4% | 11 | 84,6% | 13 | 100,0% | 3 | 2,5% | 117 | 97,5% | 120 | 100,0% | 21 | 9,9% | 191 | 90,1% | 212 | 100,0% |
| 2 | 3 | 50,0% | 3 | 50,0% | 6 | 100,0% | – | – | 3 | 100,0% | 3 | 100,0% | 1 | 100,0% | – | – | 1 | 100,0% | 4 | 40,0% | 6 | 60,0% | 10 | 100,0% |
| 3 | 48 | 27,1% | 129 | 72,9% | 177 | 100,0% | 6 | 10,3% | 52 | 89,7% | 58 | 100,0% | 4 | 2,2% | 179 | 97,8% | 183 | 100,0% | 58 | 13,9% | 360 | 86,1% | 418 | 100,0% |
| 4 | 34 | 65,4% | 18 | 34,6% | 52 | 100,0% | 4 | 30,8% | 9 | 69,2% | 13 | 100,0% | 4 | 26,7% | 11 | 73,3% | 15 | 100,0% | 42 | 52,5% | 38 | 47,5% | 80 | 100,0% |
| 5 | 37 | 46,8% | 42 | 53,2% | 79 | 100,0% | 10 | 34,5% | 19 | 65,5% | 29 | 100,0% | 7 | 43,8% | 9 | 56,2% | 16 | 100,0% | 54 | 43,5% | 70 | 56,5% | 124 | 100,0% |
| 6 | 78 | 51,7% | 73 | 48,3% | 151 | 100,0% | 27 | 45,8% | 32 | 54,2% | 59 | 100,0% | 16 | 39,0% | 25 | 61,0% | 41 | 100,0% | 121 | 48,2% | 130 | 51,8% | 251 | 100,0% |
| n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | 12 | 48,0% | 13 | 52,0% | 25 | 100,0% | 1 | 14,3% | 6 | 85,7% | 7 | 100,0% | – | – | – | – | – | – | 13 | 40,6% | 19 | 59,4% | 32 | 100,0% |
| 2 | 8 | 47,1% | 9 | 52,9% | 17 | 100,0% | 3 | 37,5% | 5 | 62,5% | 8 | 100,0% | 1 | 33,3% | 2 | 66,7% | 3 | 100,0% | 12 | 42,9% | 16 | 57,1% | 28 | 100,0% |
| 3 | 56 | 49,1% | 58 | 50,9% | 114 | 100,0% | 16 | 21,9% | 57 | 78,1% | 73 | 100,0% | 8 | 8,2% | 89 | 91,8% | 97 | 100,0% | 80 | 28,2% | 204 | 71,8% | 284 | 100,0% |
| 4 | 150 | 46,3% | 174 | 53,7% | 324 | 100,0% | 24 | 31,2% | 53 | 68,8% | 77 | 100,0% | 10 | 5,3% | 178 | 94,7% | 188 | 100,0% | 184 | 31,2% | 405 | 68,8% | 589 | 100,0% |
| 5 | 258 | 49,3% | 265 | 50,7% | 523 | 100,0% | 19 | 22,6% | 65 | 77,4% | 84 | 100,0% | 30 | 18,6% | 131 | 81,4% | 161 | 100,0% | 307 | 40,0% | 461 | 60,0% | 768 | 100,0% |
| 6 | 355 | 58,7% | 250 | 41,3% | 605 | 100,0% | 56 | 33,5% | 111 | 66,5% | 167 | 100,0% | 58 | 40,6% | 85 | 59,4% | 143 | 100,0% | 469 | 51,3% | 446 | 48,7% | 915 | 100,0% |
| n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | 13 | 54,2% | 11 | 45,8% | 24 | 100,0% | – | – | 4 | 100,0% | 4 | 100,0% | – | – | – | – | – | – | 13 | 46,4% | 15 | 53,6% | 28 | 100,0% |
| 2 | 10 | 62,5% | 6 | 37,5% | 16 | 100,0% | 1 | 33,3% | 2 | 66,7% | 3 | 100,0% | 1 | 100,0% | – | – | 1 | 100,0% | 12 | 60,0% | 8 | 40,0% | 20 | 100,0% |
| 3 | 42 | 45,7% | 50 | 54,3% | 92 | 100,0% | 6 | 12,0% | 44 | 88,0% | 50 | 100,0% | 4 | 9,1% | 40 | 90,9% | 44 | 100,0% | 52 | 28,0% | 134 | 72,0% | 186 | 100,0% |
| 4 | 142 | 49,0% | 148 | 51,0% | 290 | 100,0% | 12 | 18,5% | 53 | 81,5% | 65 | 100,0% | 9 | 6,0% | 140 | 94,0% | 149 | 100,0% | 163 | 32,3% | 341 | 67,7% | 504 | 100,0% |
| 5 | 231 | 52,3% | 211 | 47,7% | 442 | 100,0% | 29 | 24,8% | 88 | 75,2% | 117 | 100,0% | 32 | 18,0% | 146 | 82,0% | 178 | 100,0% | 292 | 39,6% | 445 | 60,4% | 737 | 100,0% |
| 6 | 400 | 58,6% | 283 | 41,4% | 683 | 100,0% | 79 | 33,8% | 155 | 66,2% | 234 | 100,0% | 67 | 38,1% | 109 | 61,9% | 176 | 100,0% | 546 | 50,0% | 547 | 50,0% | 1093 | 100,0% |
| n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | – | – | – | – | – | – | – | – | 1 | 100,0% | 1 | 100,0% | 1 | 100,0% | – | – | 1 | 100,0% | 1 | 50,0% | 1 | 50,0% | 2 | 100,0% |
| 2 | 1 | 50,0% | 1 | 50,0% | 2 | 100,0% | 1 | 100,0% | – | – | 1 | 100,0% | – | – | 2 | 100,0% | 2 | 100,0% | 2 | 40,0% | 3 | 60,0% | 5 | 100,0% |
| 3 | 28 | 70,0% | 12 | 30,0% | 40 | 100,0% | 5 | 31,2% | 11 | 68,8% | 16 | 100,0% | 2 | 50,0% | 2 | 50,0% | 4 | 100,0% | 35 | 58,3% | 25 | 41,7% | 60 | 100,0% |
| 4 | 81 | 52,6% | 73 | 47,4% | 154 | 100,0% | 9 | 25,0% | 27 | 75,0% | 36 | 100,0% | 1 | 3,2% | 30 | 96,8% | 31 | 100,0% | 91 | 41,2% | 130 | 58,8% | 221 | 100,0% |
| 5 | 144 | 61,3% | 91 | 38,7% | 235 | 100,0% | 14 | 29,8% | 33 | 70,2% | 47 | 100,0% | 14 | 26,9% | 38 | 73,1% | 52 | 100,0% | 172 | 51,5% | 162 | 48,5% | 334 | 100,0% |
| 6 | 204 | 58,5% | 145 | 41,5% | 349 | 100,0% | 34 | 36,2% | 60 | 63,8% | 94 | 100,0% | 30 | 50,0% | 30 | 50,0% | 60 | 100,0% | 268 | 53,3% | 235 | 46,7% | 503 | 100,0% |
| n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | 1 | 100,0% | – | – | 1 | 100,0% | 1 | 20,0% | 4 | 80,0% | 5 | 100,0% | – | – | – | – | – | – | 2 | 33,3% | 4 | 66,7% | 6 | 100,0% |
| 2 | 2 | 100,0% | – | – | 2 | 100,0% | 9 | 52,9% | 8 | 47,1% | 17 | 100,0% | 1 | 33,3% | 2 | 66,7% | 3 | 100,0% | 12 | 54,5% | 10 | 45,5% | 22 | 100,0% |
| 3 | 42 | 51,9% | 39 | 48,1% | 81 | 100,0% | 31 | 20,3% | 122 | 79,7% | 153 | 100,0% | 21 | 12,7% | 145 | 87,3% | 166 | 100,0% | 94 | 23,5% | 306 | 76,5% | 400 | 100,0% |
| 4 | 104 | 40,5% | 153 | 59,5% | 257 | 100,0% | 37 | 18,9% | 159 | 81,1% | 196 | 100,0% | 30 | 10,2% | 264 | 89,8% | 294 | 100,0% | 171 | 22,9% | 576 | 77,1% | 747 | 100,0% |
| 5 | 167 | 48,8% | 175 | 51,2% | 342 | 100,0% | 46 | 31,9% | 98 | 68,1% | 144 | 100,0% | 46 | 20,8% | 175 | 79,2% | 221 | 100,0% | 259 | 36,6% | 448 | 63,4% | 707 | 100,0% |
| 6 | 164 | 51,6% | 154 | 48,4% | 318 | 100,0% | 59 | 27,4% | 156 | 72,6% | 215 | 100,0% | 53 | 34,2% | 102 | 65,8% | 155 | 100,0% | 276 | 40,1% | 412 | 59,9% | 688 | 100,0% |
| n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | 1 | 33,3% | 2 | 66,7% | 3 | 100,0% | – | – | 1 | 100,0% | 1 | 100,0% | – | – | – | – | – | – | 1 | 25,0% | 3 | 75,0% | 4 | 100,0% |
| 2 | 7 | 70,0% | 3 | 30,0% | 10 | 100,0% | – | – | 2 | 100,0% | 2 | 100,0% | – | – | – | – | – | – | 7 | 58,3% | 5 | 41,7% | 12 | 100,0% |
| 3 | 22 | 56,4% | 17 | 43,6% | 39 | 100,0% | 4 | 25,0% | 12 | 75,0% | 16 | 100,0% | 2 | 28,6% | 5 | 71,4% | 7 | 100,0% | 28 | 45,2% | 34 | 54,8% | 62 | 100,0% |
| 4 | 55 | 57,9% | 40 | 42,1% | 95 | 100,0% | 8 | 18,6% | 35 | 81,4% | 43 | 100,0% | 6 | 42,9% | 8 | 57,1% | 14 | 100,0% | 69 | 45,4% | 83 | 54,6% | 152 | 100,0% |
| 5 | 98 | 54,1% | 83 | 45,9% | 181 | 100,0% | 9 | 30,0% | 21 | 70,0% | 30 | 100,0% | 16 | 64,0% | 9 | 36,0% | 25 | 100,0% | 123 | 52,1% | 113 | 47,9% | 236 | 100,0% |
| 6 | 139 | 63,2% | 81 | 36,8% | 220 | 100,0% | 24 | 40,7% | 35 | 59,3% | 59 | 100,0% | 28 | 60,9% | 18 | 39,1% | 46 | 100,0% | 191 | 58,8% | 134 | 41,2% | 325 | 100,0% |
| n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | 4 | 36,4% | 7 | 63,6% | 11 | 100,0% | 6 | 26,1% | 17 | 73,9% | 23 | 100,0% | 5 | 55,6% | 4 | 44,4% | 9 | 100,0% | 15 | 34,9% | 28 | 65,1% | 43 | 100,0% |
| 2 | 9 | 42,9% | 12 | 57,1% | 21 | 100,0% | 3 | 16,7% | 15 | 83,3% | 18 | 100,0% | 2 | 28,6% | 5 | 71,4% | 7 | 100,0% | 14 | 30,4% | 32 | 69,6% | 46 | 100,0% |
| 3 | 58 | 55,2% | 47 | 44,8% | 105 | 100,0% | 25 | 18,8% | 108 | 81,2% | 133 | 100,0% | 20 | 16,4% | 102 | 83,6% | 122 | 100,0% | 103 | 28,6% | 257 | 71,4% | 360 | 100,0% |
| 4 | 144 | 49,3% | 148 | 50,7% | 292 | 100,0% | 44 | 22,2% | 154 | 77,8% | 198 | 100,0% | 28 | 10,9% | 228 | 89,1% | 256 | 100,0% | 216 | 29,0% | 530 | 71,0% | 746 | 100,0% |
| 5 | 208 | 54,2% | 176 | 45,8% | 384 | 100,0% | 34 | 19,2% | 143 | 80,8% | 177 | 100,0% | 33 | 17,6% | 154 | 82,4% | 187 | 100,0% | 275 | 36,8% | 473 | 63,2% | 748 | 100,0% |
| 6 | 420 | 63,5% | 241 | 36,5% | 661 | 100,0% | 58 | 27,8% | 151 | 72,2% | 209 | 100,0% | 71 | 36,2% | 125 | 63,8% | 196 | 100,0% | 549 | 51,5% | 517 | 48,5% | 1066 | 100,0% |
| n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | 3 | 37,5% | 5 | 62,5% | 8 | 100,0% | 5 | 20,8% | 19 | 79,2% | 24 | 100,0% | 1 | 50,0% | 1 | 50,0% | 2 | 100,0% | 9 | 26,5% | 25 | 73,5% | 34 | 100,0% |
| 2 | – | – | 1 | 100,0% | 1 | 100,0% | 7 | 46,7% | 8 | 53,3% | 15 | 100,0% | 1 | 100,0% | – | – | 1 | 100,0% | 8 | 47,1% | 9 | 52,9% | 17 | 100,0% |
| 3 | 20 | 51,3% | 19 | 48,7% | 39 | 100,0% | 34 | 21,0% | 128 | 79,0% | 162 | 100,0% | 19 | 16,4% | 97 | 83,6% | 116 | 100,0% | 73 | 23,0% | 244 | 77,0% | 317 | 100,0% |
| 4 | 33 | 30,6% | 75 | 69,4% | 108 | 100,0% | 36 | 19,0% | 153 | 81,0% | 189 | 100,0% | 32 | 10,7% | 267 | 89,3% | 299 | 100,0% | 101 | 16,9% | 495 | 83,1% | 596 | 100,0% |
| 5 | 34 | 29,6% | 81 | 70,4% | 115 | 100,0% | 42 | 26,9% | 114 | 73,1% | 156 | 100,0% | 37 | 15,6% | 200 | 84,4% | 237 | 100,0% | 113 | 22,2% | 395 | 77,8% | 508 | 100,0% |
| 6 | 33 | 33,7% | 65 | 66,3% | 98 | 100,0% | 61 | 30,7% | 138 | 69,3% | 199 | 100,0% | 53 | 35,1% | 98 | 64,9% | 151 | 100,0% | 147 | 32,8% | 301 | 67,2% | 448 | 100,0% |
| n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | 1 | 33,3% | 2 | 66,7% | 3 | 100,0% | 10 | 35,7% | 18 | 64,3% | 28 | 100,0% | 2 | 66,7% | 1 | 33,3% | 3 | 100,0% | 13 | 38,2% | 21 | 61,8% | 34 | 100,0% |
| 2 | 3 | 100,0% | – | – | 3 | 100,0% | 5 | 41,7% | 7 | 58,3% | 12 | 100,0% | 1 | 100,0% | – | – | 1 | 100,0% | 9 | 56,2% | 7 | 43,8% | 16 | 100,0% |
| 3 | 10 | 52,6% | 9 | 47,4% | 19 | 100,0% | 22 | 31,0% | 49 | 69,0% | 71 | 100,0% | 7 | 38,9% | 11 | 61,1% | 18 | 100,0% | 39 | 36,1% | 69 | 63,9% | 108 | 100,0% |
| 4 | 22 | 55,0% | 18 | 45,0% | 40 | 100,0% | 21 | 36,2% | 37 | 63,8% | 58 | 100,0% | 5 | 22,7% | 17 | 77,3% | 22 | 100,0% | 48 | 40,0% | 72 | 60,0% | 120 | 100,0% |
| 5 | 33 | 60,0% | 22 | 40,0% | 55 | 100,0% | 14 | 22,6% | 48 | 77,4% | 62 | 100,0% | 14 | 38,9% | 22 | 61,1% | 36 | 100,0% | 61 | 39,9% | 92 | 60,1% | 153 | 100,0% |
| 6 | 78 | 70,9% | 32 | 29,1% | 110 | 100,0% | 50 | 43,5% | 65 | 56,5% | 115 | 100,0% | 51 | 60,7% | 33 | 39,3% | 84 | 100,0% | 179 | 57,9% | 130 | 42,1% | 309 | 100,0% |
| Migration | Gender | F3_guidance_lr | n |
|---|---|---|---|
| Local Population | Female | Distance to the training center was too far for her so she used to get there late | 1 |
| Local Population | Female | domaine pas trop demandé | 1 |
| Local Population | Female | formation n’a pas servi de trouver un emploi | 6 |
| Local Population | Female | formation non qualifiante | 3 |
| Local Population | Female | la formation n’a pas permis de trouver un emploi | 1 |
| Local Population | Female | la formation n’a pas servi de trouver un emploi | 1 |
| Local Population | Female | n’a pas servi de trouver un emploi, attestation non reconnue | 1 |
| Local Population | Female | not received | 1 |
| Local Population | Female | nuk ka qene aspak e mire pajisja jo ajo qe kam dashur | 1 |
| Local Population | Female | sa ljudima iz te neke organizacije sam razgovarala sta bih mogla da radim i kolika je verovatnoca da nadjem posao, to je bio kao intervju gde su mi uzeli podatke i nikada vise se nisu javili | 1 |
| Local Population | Female | seshte nda e knaqur me paisjet qe i ka marre | 1 |
| Local Population | Female | spécialité non demandée | 1 |
| Local Population | Female | zato sto je mnogo proslo od tad da se jedva secam , znam da sam o mogucnosti zaposlenja pricala sa nekim | 1 |
| Local Population | Male | Nije dobio nijedan odgovor nakon što se obratio za pomoć u pronalaženju posla. Prosledili su mu kontakt kolege PMD savetnika kome je pisao, ali on mu do danas nije odgovorio. | 1 |
| Local Population | Male | None | 1 |
| Local Population | Male | choix de la formation est imposé par AHK CORP | 1 |
| Local Population | Male | domaine pas trop demandé | 1 |
| Local Population | Male | duration was too short so I didn’t really grasp the information that was needed | 1 |
| Local Population | Male | formation n’a pas servi de trouver un emploi | 5 |
| Local Population | Male | formation non qualifiante | 4 |
| Local Population | Male | la formation n’a pas servi de trouver un emploi | 1 |
| Local Population | Male | n’a pas servi de trouver un emploi | 1 |
| Local Population | Male | pas de valeur ajoutée | 1 |
| Local Population | Male | spécialité non demandée | 1 |
| Local Population | Male | spécialité non demandée, difficulté de trouver un emploi | 2 |
| Migrants from GER | Female | nisu mi mogli pomoći da nabavim opremu niti da se mogu prijaviti na tržištu rada sa kosovskom diplomom za frizere | 1 |
| Migrants from GER | Female | nuk ishte e vlefshme | 1 |
| Migrants from GER | Female | podneli zahtev za mašinu za šivenje ali je koš nismo dobili | 1 |
| Migrants from GER | Female | samo sam razgovarala sa nrekim davno o mogucem zaposlenju u nemackoj | 1 |
| Migrants from GER | Male | Nuk kam mar udhezime ne karriere | 1 |
| Migrants from GER | Male | Nuk kane qene mjete qe i kam kerkuar dhe nuk kane mjaftuar | 1 |
| Migrants from GER | Male | Samo su ga uputili na biro. | 1 |
| Migrants from GER | Male | Such didn’t take place | 1 |
| Migrants from GER | Male | asnje | 1 |
| Migrants from GER | Male | molio sam da mi pomognu da nadjem posao al sam na kraju sam nasao | 1 |
| Migrants from GER | Male | nuk kane qene mjete te mjaftueshme | 1 |
| Migrants from GER | Male | skom marre qaq sa. kom prit | 1 |
| Migrants from GER | Male | sme ka pelqyer fare per shkak se nuk ka pas ndonje ndihme ne karriere. | 1 |
| Migrants from GER | Male | uzela podatke i nije vise dolazila | 1 |
| Migrants from GER | Male | vaznije mi je bilo da obezbedim socijalni smestaj | 1 |
| Migrants from third countries | Female | It was very poor. Not well done | 1 |
| Migrants from third countries | Male | nuk ishte mjaftushem | 1 |
| Migration | Gender | F3_stskills_lr | n |
|---|---|---|---|
| Local Population | Female | Kurs je bio online samo dva časa teorije, od kojih prvi čas nije bio na temu dijagnostike. Nije mnogo novih stvari naučio. | 1 |
| Local Population | Female | Les entreprises privilègient les diplômés | 1 |
| Local Population | Female | Nije bilo dovoljno vremena da nauči osnove manikira, a i devojka koja je obučavala nije bila dovoljno zainteresovana da pokaže i nauči polaznika bar tim osnovama. | 1 |
| Local Population | Female | Ponuđena joj je kratka stručna obaveza, misli da je za frizere, ali ona tada nije mogla da ide zbog obaveza. Nisu je zvali više. | 1 |
| Local Population | Female | Wasn’t too satisfied with Digital marketing training. | 1 |
| Local Population | Female | formation incomplète, partie pratique insuffisante | 1 |
| Local Population | Female | formation n’a pas servi de trouver un emploi | 6 |
| Local Population | Female | formation non qualifiante | 3 |
| Local Population | Female | la formation n’a pas permis de trouver un emploi | 2 |
| Local Population | Female | la formation n’a pas servi de trouver un emploi | 1 |
| Local Population | Female | n’a pas servi de trouver un emploi, attestation non reconnue | 1 |
| Local Population | Female | na obuci nisam skoro ništa naučila,morala sam da platim još dve obuke da bi naučila osnovno | 1 |
| Local Population | Female | samo su porazgovarali sa mnom koje bih poslove mogla da radim sa dijagnozama koje imam i od toga nije bilo nista vec godinu dana | 1 |
| Local Population | Female | spécialité non demandée, difficulté de trouver un emploi | 1 |
| Local Population | Female | the firm I was deployed to for training didn’t do enough practicals | 1 |
| Local Population | Male | La formation n’a pas permis de trouver un emploi | 1 |
| Local Population | Male | Les entreprises privilègient les diplômés | 1 |
| Local Population | Male | Tražio je obuku za vozače kamiona i upravljanje građevinskim mašinama, pošto je njegov drug to već prošao, tako je i saznao, ali su mu rekli da će ga pozvati kada to bude aktuelno. To je bilo pre dve godine, ali ništa do sada nije dobio, niti su | 1 |
| Local Population | Male | formation n’a pas servi de trouver un emploi | 5 |
| Local Population | Male | formation non qualifiante | 4 |
| Local Population | Male | la formation n’a pas servi de trouver un emploi | 1 |
| Local Population | Male | n’a pas servi de trouver un emploi | 1 |
| Local Population | Male | pas de valeur ajoutée, pas de pratique, formation non qualifiante | 1 |
| Local Population | Male | spécialité non demandée, difficulté de trouver un emploi | 2 |
| Migrants from GER | Female | nuk sqaruan trajnimin e duhur | 1 |
| Migrants from GER | Male | Nuk osht qe mkan ndihmu shume ato trajnime ma shume kom pas nevoje per pajisje | 1 |
| Migrants from GER | Male | asnje | 1 |
| Migrants from GER | Male | nisam još otišla na obuku | 1 |
| Migrants from GER | Male | nuk ka qene edhe shum adekuat per kohen qe e kemi mbajt trajnimin | 1 |
| Migrants from GER | Male | predao sam još prošle godine papire za obuku za vozača ali me nisu zvali još | 1 |
| Migrants from GER | Male | uzela podatke ali nije me zvala za obuku | 1 |
| Migrants from third countries | Female | Poor training | 1 |
| Migration | Gender | F3_ltskills_lr | n |
|---|---|---|---|
| Local Population | Female | she wishes she had more hands on training | 1 |
| Local Population | Male | The training period was very short and the school lacked adequate equipment to really teach me the practical aspect of driving heavy duty machines in depth. | 1 |
| Migrants from GER | Female | nuk me ka thene njeri per trejnim | 1 |
| Migrants from GER | Male | asnje | 1 |
| Migrants from third countries | Female | She was assigned to learn fashion designing from a woman but she didn’t have time for her at all therefore she didn’t learn anything from her. | 1 |
| Migrants from third countries | Male | He was redirected to go to a factory to learn the machinery from the man but he ended up not learning anything for 2 weeks.The man wasn’t good at the job | 1 |
| Migrants from third countries | Male | nuk me ndihmoi shume | 1 |
| Migration | Gender | F3_counseling_lr | n |
|---|---|---|---|
| Local Population | Female | They told her they didn’t have all the materials for the training but she had to buy it herself. she felt very bad because some others got the items and she didn’t. | 1 |
| Local Population | Female | pricala sam i mogucem zaposlenju al je na tome ostalo | 1 |
| Local Population | Female | sem tog razgovora i praznih obecanja kojima se jos nadam nije bilo nista | 1 |
| Migrants from GER | Female | nismo dobili nšta,savetovali su nas gde sve da se obratimo ,i od tada dva puta smo čuli i od tada se ne javljaju na telefon | 1 |
| Migrants from GER | Female | nuk eshte ofruar fare | 1 |
| Migrants from GER | Female | nuk ofrohet ne nivelin e duhur ,nuk eshte ofruar | 1 |
| Migrants from GER | Female | nuk u ofruar | 1 |
| Migrants from GER | Female | poslali su me na tržište rada ali tamo nisu prihvatili moju diplomu jer nije priznata jer sam školu završila u prizrenu | 1 |
| Migrants from GER | Female | savetovala sam se za pohadjanje neke vanredne skole i dobijanja sertifikata | 1 |
| Migrants from GER | Female | sem razgovora nije bilo nicega vise | 1 |
| Migrants from GER | Female | sve se svelo samo na razgovor i nikakva pomoc | 1 |
| Migrants from GER | Female | zato sto od toga vise nista nije bilo, samo pazna prica, rekli su da pratimo neke sajtove, mi se u to ne razumemo bas tako da od toga nista | 1 |
| Migrants from GER | Female | zato sto sem tog savetovanja nije bilo nista a trazil smo pomoc za dete koje boljuje od karcinoma | 1 |
| Migrants from GER | Male | Jo | 1 |
| Migrants from GER | Male | asnje | 1 |
| Migrants from GER | Male | il était indisponible lors de la phase de l’orientation | 1 |
| Migrants from GER | Male | ka qene vetem vizite e shkurt e padobishme | 1 |
| Migrants from GER | Male | nisam dobila podršku niti savet | 1 |
| Migrants from GER | Male | not helpful | 1 |
| Migrants from GER | Male | osim price u nekoliko navrata nista nije bilo , ne mogu da zavrsim ni zaposao ni za kucu bilo sta, neki socijalni smestaj | 1 |
| Migrants from GER | Male | projet non lancé : pas de traitement individuel | 1 |
| Migrants from GER | Male | rekli su da će me zvati za neku obuku ali me nisu zvali | 1 |
| Migrants from GER | Male | samo smo jednom razgovarali, jedva se secam i vise me niko nije zvao | 1 |
| Migrants from GER | Male | السبب عدم تلقي الاستشارات القانونيه الازمة لاينجاح المشروع الخاص بيه منما أدى إلى فشل المشروع | 1 |
| Migrants from GER | Male | بسبب ضيق الوقت | 1 |
| Migrants from third countries | Female | Poor | 1 |
| Migrants from third countries | Male | nuk ishte I qarte | 1 |
| Migrants from third countries | Male | sem tog razgovora niko me nije zvao | 1 |
| Migration | Gender | F3_coaching_lr | n |
|---|---|---|---|
| Local Population | Female | They promised to take her through the trainings she missed but they never did a recap for her. | 1 |
| Local Population | Female | none | 1 |
| Local Population | Female | ucestvovala sam u nekim skupovima, al se jedva secam sad toga, davno je bilo | 1 |
| Migrants from GER | Male | nuk e kam mar si sherbim | 1 |
| Migrants from GER | Male | the training wasn’t substantial due to the fact that we didn’t really know and understand what we were thought and it wasn’t well explained to us | 1 |
| Migration | Gender | F3_startup_lr | n |
|---|---|---|---|
| Local Population | Female | A website was supposed to be created for them but it wasn’t done hence she couldnt use the laptop she received fully. | 1 |
| Local Population | Female | I expected more than just a manual machine to Start-up | 1 |
| Local Population | Female | Provided a starter kit. It was good but not very helpful for a startup | 1 |
| Local Population | Female | Received 1 hair dryer, couldn’t get money to rent a store and purchase other necessary things to set up a salon | 1 |
| Local Population | Female | Received two goats that died after two weeks. | 1 |
| Local Population | Female | Respondent received hairdryer and basin and feels its not enough. | 1 |
| Local Population | Female | She was sent to a place to learn more about sowing but she didn’t learn much from there and she wasn’t happy about that. | 1 |
| Local Population | Female | Support given was not enough to manage my business | 1 |
| Local Population | Female | kualitet i dobet, si dhe i jane dhene gerrshere edhe krahni per me fenerate qe nuk ju kan dashte sepse ka apliku per pajisje per thonje | 1 |
| Local Population | Female | nuk punojne mire,nuk jane te mira,adekuate pajisjet e marra | 1 |
| Local Population | Female | ska mjaftuar per te filluar biznes | 1 |
| Local Population | Female | support was eventually not received since there was no confirmation of payment by the account holder who happens to be a friend. | 1 |
| Local Population | Female | the oven cannot be used to bake bread due to this she is unable to work with the oven | 1 |
| Local Population | Male | Funds were not enough | 1 |
| Local Population | Male | Funds were unavailable | 1 |
| Local Population | Male | He is into Fashion designing but he doesn’t use the laptop much in this area. He feels like the trainings should start from the basics because he couldn’t apply what he learnt because he didn’t have the beginner training. | 1 |
| Local Population | Male | I could not use it because I didn’t get a job. | 1 |
| Local Population | Male | MATERIALE , VEGLA PUNE | 1 |
| Local Population | Male | No financial support received. | 1 |
| Local Population | Male | Not satisfied with was given. | 1 |
| Local Population | Male | Nuk kam qene aspak i kenaqur sepse me dy tri pajisje nuk mund te marresh hapa te fillosh biznes | 1 |
| Local Population | Male | SEPSE PO VONON. ESHTE NJE NDIHMESE MINIMALE QE NUK NDIHMON DHE AQ | 1 |
| Local Population | Male | The birds he Had all died so he had to shut down the business. | 1 |
| Local Population | Male | Tools | 1 |
| Local Population | Male | Tražio je mašine za stolariju, da bi otvorio svoju firmu, ima stare mašine, ali one nisu više produktivne i bezbedne. Nije još ništa dobio. Čeka odgovor. | 1 |
| Local Population | Male | Vlera e gjerave qe i jane ofruar nuk i ka plotesuar kushtet per te vazhduar punen, poashtu nuk ka marre mjete te kualitetit te larte e kjo ka qene arsyeja e vleresimit te dobet. | 1 |
| Local Population | Male | dola i perzgjedhur si fitues 2 her,edhe nuk mora asnje pergjigje per te marr sherblimin per 2000 Euro | 1 |
| Local Population | Male | it’s not original | 1 |
| Local Population | Male | samo smo razgovarali o tome i mogucnostima za otvaranje firme al sam shvatio da nije to za mene jos | 1 |
| Local Population | Male | the animals got there sick and tired, and most of them died a week after they got there | 1 |
| Local Population | Male | the animals were week on arrival and therefore died on arrival | 1 |
| Local Population | Male | we were given sewing machines and other small materials, but with fashion and designing we need a lot of machines to work. so the support was inadequate | 1 |
| Migrants from GER | Female | Nije još dobila opremu za svoj posao, tražila je šurilicu za prasad i mašinu za sečenje pečenja. To je bilo pre mesec i po. Još čeka odgovor, rekli su da će zvati do 21.og aprila. Ima svoju pečenjaru u okviru poljoprivrednog gazdinstva. | 1 |
| Migrants from GER | Female | Nuk kane qene mjete te dhuruara mjaftueshem per te filuar nje biznes | 1 |
| Migrants from GER | Female | akoma nuk kan ardhur ,duhet firmosur nga donatoret,ne pritje | 1 |
| Migrants from GER | Female | kerkova por nuk ofrohet per banoret e qytetit me thane | 1 |
| Migrants from GER | Female | me ofruan vetem corape dhe kanatiere | 1 |
| Migrants from GER | Female | nuk ishte cilesor malli qe mora | 1 |
| Migrants from GER | Female | nuk ofrohet ,dhe individ te perzgjedhur ofrohet | 1 |
| Migrants from GER | Female | nuk pata mbeshtetje,nuk u afrua fare mbeshtetja | 1 |
| Migrants from GER | Female | pas de valeur ajoutée : le kit est insuffisant | 1 |
| Migrants from GER | Male | JO PAISJE TE MJAFTUESHME | 1 |
| Migrants from GER | Male | Lenteur dans le traitement des dossiers | 1 |
| Migrants from GER | Male | Mjetet te cilat ju kane ofru nuk kane qene te mjaftueshme per me fillu punen ose me hap biznes. | 1 |
| Migrants from GER | Male | NUK ISHIN TE DOBISHME | 1 |
| Migrants from GER | Male | Nije dobio ovaj vid podrške, a tražio je mašinu za cepanje drva, kako bi pokrenuo svoj posao. | 1 |
| Migrants from GER | Male | Non réception de la subvention, non professionnalisme des employés | 1 |
| Migrants from GER | Male | Per shkak te kreditit nuk ka pase mundesi me zgjeru biznesin sepse mbeshtetja nuk ka qene e mjaftueshme. | 1 |
| Migrants from GER | Male | accompagnement, assistance et appui matériel incomplet | 1 |
| Migrants from GER | Male | aide insuffisante, subvention de mauvaise qualité | 1 |
| Migrants from GER | Male | aide insuffisante,attente | 1 |
| Migrants from GER | Male | ana financiare nuk ofruan ,po shes kanace | 1 |
| Migrants from GER | Male | arrêt de la procédure du traitement du dossier car il a transite par l’Italie | 1 |
| Migrants from GER | Male | asnje | 1 |
| Migrants from GER | Male | aspak mbeshtetje per nje fillim te ri | 1 |
| Migrants from GER | Male | disa mjete pune | 1 |
| Migrants from GER | Male | la procédure est très longue | 1 |
| Migrants from GER | Male | la procédure est très longue, projet en cours de création | 1 |
| Migrants from GER | Male | money received was small per what my colleagues received | 1 |
| Migrants from GER | Male | nuk ka pas mundesi me 2-3 pajisje te hapesh biznis | 1 |
| Migrants from GER | Male | podneovsam zahtev I cekao si novac,, Ali nista nisam dobio. hteo sam da otvorim samousluznu perionicu, zakupio sam prostor, ugovore. zahtevali predracune save sam podneo, Ali mi nisu objasnili ni zasto su me odbili niti me Iko iz helpa vise kontaktirao | 1 |
| Migrants from GER | Male | procédure longue projet en cours de création | 1 |
| Migrants from GER | Male | procédure non complète, non professionnalisme des employés, impossible de joindre les personnes concernées | 1 |
| Migrants from GER | Male | projet en cours de création | 1 |
| Migrants from GER | Male | projet non lancé en attente de subvention | 1 |
| Migrants from GER | Male | sme kan mjaftuar mjetet dhe nuk kam pas te ardhura te mjaftueshme financiare | 1 |
| Migrants from GER | Male | subventions reçues insuffisantes | 1 |
| Migrants from GER | Male | the provision made wasn’t sufficient enough | 1 |
| Migrants from GER | Male | traitement incomplet du dossier, la procédure est très longue, la non disponibilité des interlocuteurs | 1 |
| Migrants from GER | Male | tražili smo novac za pokretanje posla ali nismo dobili | 1 |
| Migrants from GER | Male | tražio sam pomoć za frezu ali nije dobijena | 1 |
| Migrants from GER | Male | لم يكن كافيا بالنسبة لهذا المشروع | 1 |
| Migrants from GER | Male | لم يكن كافيا لمستلزمات المشروع | 1 |
| Migrants from third countries | Female | The starter kit given was very poor. Can’t be used for a startup | 1 |
| Migrants from third countries | Female | Very poor. Couldn’t help to establish business | 1 |
| Migrants from third countries | Female | hair dryer alone is not enough to set up a hair dresser business | 1 |
| Migrants from third countries | Female | nisam dobila nikakvu pomoć za otvaranje i prširenje delatnosti ,rekli su mi da nemaju sada tu mogućnost da daju pomoć | 1 |
| Migrants from third countries | Female | nuk kane qene pajisjet e kerkuara | 1 |
| Migrants from third countries | Female | لم يكن كافيا | 1 |
| Migrants from third countries | Female | لم يكن كافيا لسبل العيش | 1 |
| Migrants from third countries | Male | Didn’t get the expected tools for Electric fencing, but a bit satisfied with what was received for car tracking. | 1 |
| Migrants from third countries | Male | He didn’t receive anything but was supposed to get handson training for 2 weeks which he feels he wasted his time there. | 1 |
| Migrants from third countries | Male | Instead of four goats, he received two and the two couldn’t survive well in Benin. | 1 |
| Migrants from third countries | Male | The financial support was too small to Start-up | 1 |
| Migrants from third countries | Male | ka marre vetem njeren pjese te makinerise qe ju ka dashte | 1 |
| Migrants from third countries | Male | they didn’t provide the shop that I requested for | 1 |
| Migrants from third countries | Male | غير مفيدة | 1 |
| Migrants from third countries | Male | كانت المبلغ قليل لذالك اخترت | 1 |
| Migrants from third countries | Male | لم يكن الدعم كافيالبدء الشغل رغم وجود تدريب ناجح | 1 |
| Migration | Gender | F3_reintegration_lr | n |
|---|---|---|---|
| Local Population | Female | Tražila je materijal za renoviranje kuće, ali nije dobila jer se kuća ne vodi na nju. | 1 |
| Local Population | Female | Tražila je materijal za renoviranje kuće, odbili su je. Uputili su je na drugu organizaciju za tu vrstu pomoći. | 1 |
| Local Population | Female | Zato što nije dobila traženu vrstu pomoći, odbili su je. | 1 |
| Local Population | Male | JO | 1 |
| Local Population | Male | Nije bilo podrške, a tražili su materijal za renoviranje kuće. | 1 |
| Local Population | Male | Tražio je građevinski materijal za podizanje krova na kući, ali je odbijen, jer kuća nije zvanično na njegovo ime. | 1 |
| Local Population | Male | Tražio je materijal da završi građenje kuće. Nije ništa dobio. Rekli su da će se javiti, ali nisu. Ponudili su belu tehniku, ali ni to nisu dali. Nisu se od tada javili. | 1 |
| Local Population | Male | Tražio je materijal za renoviranje kuće, ali ga do sada nije dobio. Rečeno mu je ako ga do februara ne pozovu, onda neće ni biti materijala, odnosno ove vrste pomoći. | 1 |
| Local Population | Male | Tražio je materijal za sanaciju krova, ali su ga odbili. Izašli su na teren par puta i na kraju rekli da nije prioritet. | 1 |
| Migrants from GER | Female | Nije dobijena pomoć, nisu ni izašli na teren, a tražili su materijal za renoviranje kuće. | 1 |
| Migrants from GER | Female | Nije dovoljno što su joj dali, samo je dobila šporet i veš mašinu, a tražila je materijal za kuću. Nije ga dobila jer kuća nije bila njena, već njenog brata. | 1 |
| Migrants from GER | Female | Tražila je materijal da sredi dečije sobe i to konkretno plafone i krov, ali nije dobila ništa, niko je nije kontaktirao do danas. | 1 |
| Migrants from GER | Female | Tražila je materijal za sanaciju krova, ali još uvek ništa nije dobila. Rekli su da će se javiti, ali nisu do sada. | 1 |
| Migrants from GER | Female | Tražili su materijal za kuću i to za izolaciju, ali nisu mogli da dobiju, jer kuća u kojoj žive nije njihova, ne vodi se na njih, to im je rečeno. | 1 |
| Migrants from GER | Female | Tražili su nameštaj za kuću, rekli su im da će im javiti, ali ih niko nije zvao do sada, tako da nisu dobili ovu vrstu pomoći-podrške. | 1 |
| Migrants from GER | Female | nije se našlo rešenje za moj problem ,za prijavu na tržištu rada ,da mi bude priznata diploma | 1 |
| Migrants from GER | Female | nuk eshte ofruar ne niovelin e duhur | 1 |
| Migrants from GER | Female | nuk me kane dhene edhe pse kam shkuar dhe i kam telefonuar | 1 |
| Migrants from GER | Female | nuk pata mbeshtetje te favorshme | 1 |
| Migrants from GER | Female | osim kontakta kome treba da se javimo za pomoc nikada nam niko stvarno nije pomogao | 1 |
| Migrants from GER | Female | samo smo obavili razgovor i nikada mi niko nije pomogao niti me je zvao | 1 |
| Migrants from GER | Male | Još uvek nije dobio ovaj vid pomoći-podrške, obraćao se za pomoć u kupovini materijala za renoviranje kuće i nameštaj. | 1 |
| Migrants from GER | Male | NUK ISHTE DOBISHME | 1 |
| Migrants from GER | Male | NUK TKA NDIHMU | 1 |
| Migrants from GER | Male | Nije bilo usluge, tražio je nameštaj za kuću, belu tehniku i drva, ali nije dobio, odbili su ga uz obrazloženje da mu je otac već dobio pomoć, iako on ne živi sa ocem. | 1 |
| Migrants from GER | Male | Tražili smo novac , ali nismo dobili. | 1 |
| Migrants from GER | Male | Tražio je materijal za gradnju kuće. Još ništa nije dobio. Rekli su mu da za sada nema materijala, ali da će mu javiti kada bude bilo. | 1 |
| Migrants from GER | Male | Tražio je materijal za kuću, da renovira kuću, ali ništa još nije dobio, rekli su mu da će mu javiti. | 1 |
| Migrants from GER | Male | Tražio je materijal za kuću, pošto mu je kuća bila poplavljena. Trebao mu je materijal za malterisanje, prozori, materijal za kupatilo, nameštaj. Rekli su mu da će javiti. Još ništa nije dobio. | 1 |
| Migrants from GER | Male | Tražio je materijal za kuću, za fasadu, ali ništa do danas nije dobio. | 1 |
| Migrants from GER | Male | Tražio je nameštaj i to belu tehniku i drva, ali je odbijen, rečeno mu je da mu je otac već dobio. On ne živi sa ocem, ima svoju porodicu, malu bebu i u teškoj je materijalnoj situaciji. Razočaran je u ovu organizaciju. Nije bilo ni jedne druge vrs | 1 |
| Migrants from GER | Male | Tražio je pomoć u vidu nameštaja i to bele tehnike, ali su ga odbili jer je njegov otac već dobio. Tvrdi da sa ocem ne živi i da otac ima svoju porodicu, dvoje maloletne dece. | 1 |
| Migrants from GER | Male | Tražio je priključenje struje i nameštaj. Nije još uvek ništa dobio. | 1 |
| Migrants from GER | Male | aide insuffisante | 1 |
| Migrants from GER | Male | as ne riintegrim skam pas ndonje gje . | 1 |
| Migrants from GER | Male | dossier en cours, traitement non sérieux, le non professionnalisme des employés | 1 |
| Migrants from GER | Male | i pakenaqur | 1 |
| Migrants from GER | Male | it wasn’t enough | 1 |
| Migrants from GER | Male | kauqat jane prishe menihere | 1 |
| Migrants from GER | Male | niko nam nije dao neku pomoc, posao , smestaj , bilo sta, imamo 4 deteta | 1 |
| Migrants from GER | Male | nuk pata mbeshtetje as nga ana monetare dhe psikosociale | 1 |
| Migrants from GER | Male | nuk pata perkrahje fare | 1 |
| Migrants from GER | Male | osim ljudi koji su nas sacekali na aerodromu i dali nam informacije kome da se obratimo za sve vrste pomoci nije bilo drugih kontakata niti podrske vezane za to | 1 |
| Migrants from GER | Male | ponudili su obuku u nekoj firmi ali samo su upisali i nisu me zvali | 1 |
| Migrants from GER | Male | tebala mi je pomoć da završim obuku za vozača ali je nisam još dobio | 1 |
| Migrants from GER | Male | traio sa podršku za nabavku drva ali nisam dobio | 1 |
| Migrants from GER | Male | zvala nas mila uzea podatke mi smo trazili da nam pomogne da saniramo kuću koju smo dobili od komesarijata za izbeglice obratila na se zvala upisala podatke ali nismo dobili nikakvu pomoć | 1 |
| Migrants from GER | Male | لم أرى نفسي جزاء من هذا البرنامج و لم أكن راضي عن دعمل مالي كان قليله | 1 |
| Migrants from third countries | Female | Excellent | 1 |
| Migrants from third countries | Female | Tražio je materijal za renoviranje kuće, ali nije dobio. | 1 |
| Migrants from third countries | Male | انا اصلان شخص اجتماعي و جزاء من هذا مجتمع لهذا اقول هذا برنامج لم يساعدني في إعادة ادماجي ب مجتمع | 1 |
| Migration | Gender | F3_pss_lr | n |
|---|---|---|---|
| Local Population | Female | nikakva posebna psihosocijalna podrska nije bila, samo prazna nadanja | 1 |
| Local Population | Female | none | 1 |
| Local Population | Female | to nije nikakva podrska , samo sam gubila vreme sa vama | 1 |
| Local Population | Female | zato sto se nista nije desilo sem tog razgovora, niko me nikada nije posetio niti dosao da vidi sta mi treba | 1 |
| Local Population | Male | Tražio je materijal da završi građenje kuće. Nije ništa dobio. Rekli su da će se javiti, ali nisu. Ponudili su belu tehniku, ali ni to nisu dali. Nisu se od tada javili. | 1 |
| Local Population | Male | Tražio je materijal za sanaciju krova, ali su ga odbili. Izašli su na teren par puta i na kraju rekli da nije prioritet. | 1 |
| Migrants from GER | Female | Nedovoljna pomoć je pružena, sitnica. | 1 |
| Migrants from GER | Female | Nije dobijena pomoć, nisu ni izašli na teren, a tražili su materijal za renoviranje kuće. | 1 |
| Migrants from GER | Female | Nije dobila traženu pomoć, odnosno materijal da srdi plafone i krov. | 1 |
| Migrants from GER | Female | Not satisfied with the counseling at all. | 1 |
| Migrants from GER | Female | Tražila je materijal za sanaciju krova, ali još uvek ništa nije dobila. Rekli su da će se javiti, ali nisu do sada. | 1 |
| Migrants from GER | Female | Tražili su materijal za kuću i to za izolaciju, ali nisu mogli da dobiju, jer kuća u kojoj žive nije njihova, ne vodi se na njih, to im je rečeno. | 1 |
| Migrants from GER | Female | Tražili su nameštaj za kuću, rekli su im da će im javiti, ali ih niko nije zvao do sada, tako da nisu dobili ovu vrstu pomoći-podrške. | 1 |
| Migrants from GER | Female | covek ciji smo kontakt dobili na aerodromu ne postoji na toj adesi a ni druge sluzbe i udruzenja nam nisu nikada ponudili da se doskolujemo ili da radimo nesto , bilo sta | 1 |
| Migrants from GER | Female | nismo dobili nikakvu moralnu , materijanlnu podrsku kad smo izgubili bebu staru 7 meseci, ocekivali smo da nas bar neko uputi zasto se to dogodilo | 1 |
| Migrants from GER | Female | nuk eshte ofruar | 1 |
| Migrants from GER | Female | nuk flitet shume nga asnje | 1 |
| Migrants from GER | Female | pitali smo da li mogu nekako da nam pomognu il da nam budu podrska posle smrti drugog deteta, da bar saznamo kako se to desilo al nije nam niko pomogao | 1 |
| Migrants from GER | Female | sepse nuk me siguruan asgje,cdo gje kerkova vete per familjen time,pasi femija im ishte shume keq nga ana psikologjike dhe nuk me ndihmuan | 1 |
| Migrants from GER | Female | traili smo neku pomoć,finasnijsku,ali nisu mi dali | 1 |
| Migrants from GER | Female | trazili smo pomoć za ,hranu stan,sem da decu upišemo u šolu ostale pomoći nismo dobili | 1 |
| Migrants from GER | Male | Još uvek nije dobio ovaj vid pomoći-podrške, obraćao se za pomoć u kupovini materijala za renoviranje kuće i nameštaj. | 1 |
| Migrants from GER | Male | Nije bilo usluge, tražio je nameštaj za kuću, belu tehniku i drva, ali nije dobio, odbili su ga uz obrazloženje da mu je otac već dobio pomoć, iako on ne živi sa ocem. | 1 |
| Migrants from GER | Male | Not Satisfied from counseling. | 1 |
| Migrants from GER | Male | Pas de suivi | 1 |
| Migrants from GER | Male | SKA MBESHTETJE MJAFT | 1 |
| Migrants from GER | Male | Tražili smo novac, ali ništa nismo dobili. | 1 |
| Migrants from GER | Male | Tražio je materijal za gradnju kuće. Još ništa nije dobio. Rekli su mu da za sada nema materijala, ali da će mu javiti kada bude bilo. | 1 |
| Migrants from GER | Male | Tražio je materijal za kuću, da renovira kuću, ali ništa još nije dobio, rekli su mu da će mu javiti. | 1 |
| Migrants from GER | Male | Tražio je materijal za kuću, pošto mu je kuća bila poplavljena. Trebao mu je materijal za malterisanje, prozori, materijal za kupatilo, nameštaj. Rekli su mu da će javiti. Još ništa nije dobio. | 1 |
| Migrants from GER | Male | Tražio je materijal za kuću, za fasadu, ali ništa do danas nije dobio. | 1 |
| Migrants from GER | Male | Tražio je nameštaj i to belu tehniku i drva, ali je odbijen, rečeno mu je da mu je otac već dobio. On ne živi sa ocem, ima svoju porodicu, malu bebu i u teškoj je materijalnoj situaciji. Razočaran je u ovu organizaciju. | 1 |
| Migrants from GER | Male | Tražio je pomoć u vidu nameštaja i to bele tehnike, ali su ga odbili jer je njegov otac već dobio takvu vrstu pomoći. Tvrdi da sa ocem ne živi i da otac ima svoju porodicu, dvoje maloletne dece. | 1 |
| Migrants from GER | Male | Tražio je priključenje struje i nameštaj. Nije još uvek ništa dobio. | 1 |
| Migrants from GER | Male | aide insuffisante | 1 |
| Migrants from GER | Male | asnje mbeshtetje | 1 |
| Migrants from GER | Male | dossier en cours, traitement non sérieux, le non professionnalisme des employés | 1 |
| Migrants from GER | Male | en cours de consultation | 1 |
| Migrants from GER | Male | jednostavno me niko nije pozvao da pomogne a znaju u kmakvim uslovima zivim, da zivimo u nehigijenskom naselju i hranimo se iz kontejnera | 1 |
| Migrants from GER | Male | niko nas nije ni savetovao ni pomogao da se snadjem posle 33 godine koliko sam ziveo u nemackoj | 1 |
| Migrants from GER | Male | nuk e kam mar si sherbim | 1 |
| Migrants from GER | Male | nuk kemi pasur ndonje mbeshtetje psikosociale e cila ka ndiku ne jeten time. | 1 |
| Migrants from GER | Male | prise en charge par les médecins incomplète | 1 |
| Migrants from GER | Male | zato sto je to samo podrska da je tako nazovem u vidu razgovora gde sam dao svoje podtke, interesovanja a opet ni jedan konkretan zahtev za posao ili skolovanje, neku drugu vrstu pomoci i sl | 1 |
| Migrants from GER | Male | zvala nas mila uzea podatke mi smo trazili da nam pomogne da saniramo kuću koju smo dobili od komesarijata za izbeglice obratila na se zvala upisala podatke ali nismo dobili nikakvu pomoć | 1 |
| Migrants from GER | Male | غير مفيد | 1 |
| Migrants from third countries | Female | Poorly rendered | 1 |
| Migrants from third countries | Female | Very poor | 1 |
| Migrants from third countries | Female | sepse nuk na kane bere gje | 1 |
| Migrants from third countries | Male | i pakenaqur, ndjehem i stresuar | 1 |
| n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 367 | 59,7% | 248 | 40,3% | 615 | 100,0% | 105 | 38,7% | 166 | 61,3% | 271 | 100,0% | 46 | 41,4% | 65 | 58,6% | 111 | 100,0% | 518 | 52,0% | 479 | 48,0% | 997 | 100,0% |
| 1 | 908 | 54,1% | 771 | 45,9% | 1679 | 100,0% | 189 | 22,8% | 640 | 77,2% | 829 | 100,0% | 176 | 19,5% | 726 | 80,5% | 902 | 100,0% | 1273 | 37,3% | 2137 | 62,7% | 3410 | 100,0% |
| n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 212 | 55,8% | 168 | 44,2% | 380 | 100,0% | 41 | 29,9% | 96 | 70,1% | 137 | 100,0% | 24 | 28,6% | 60 | 71,4% | 84 | 100,0% | 277 | 46,1% | 324 | 53,9% | 601 | 100,0% |
| 1 | 696 | 53,6% | 603 | 46,4% | 1299 | 100,0% | 148 | 21,4% | 544 | 78,6% | 692 | 100,0% | 152 | 18,6% | 666 | 81,4% | 818 | 100,0% | 996 | 35,5% | 1813 | 64,5% | 2809 | 100,0% |
## [1] "Migration Status"
##
## Cell Contents
## |-------------------------|
## | Count |
## | Chi-square contribution |
## | Row Percent |
## | Column Percent |
## | Total Percent |
## |-------------------------|
##
## Total Observations in Table: 3410
##
## | data$Q1_12
## data$Migration | 0 | 1 | Row Total |
## ------------------------------|-----------|-----------|-----------|
## Local Population | 380 | 1299 | 1679 |
## | 23.891 | 5.112 | |
## | 22.633% | 77.367% | 49.238% |
## | 63.228% | 46.244% | |
## | 11.144% | 38.094% | |
## ------------------------------|-----------|-----------|-----------|
## Migrants from GER | 137 | 692 | 829 |
## | 0.568 | 0.121 | |
## | 16.526% | 83.474% | 24.311% |
## | 22.795% | 24.635% | |
## | 4.018% | 20.293% | |
## ------------------------------|-----------|-----------|-----------|
## Migrants from third countries | 84 | 818 | 902 |
## | 35.359 | 7.565 | |
## | 9.313% | 90.687% | 26.452% |
## | 13.977% | 29.121% | |
## | 2.463% | 23.988% | |
## ------------------------------|-----------|-----------|-----------|
## Column Total | 601 | 2809 | 3410 |
## | 17.625% | 82.375% | |
## ------------------------------|-----------|-----------|-----------|
##
##
## Statistics for All Table Factors
##
##
## Pearson's Chi-squared test
## ------------------------------------------------------------
## Chi^2 = 72.61617 d.f. = 2 p = 1.704511e-16
##
##
##
## Minimum expected frequency: 146.1082
##
## NULL
## [1] "Gender"
##
## Cell Contents
## |-------------------------|
## | Count |
## | Chi-square contribution |
## | Row Percent |
## | Column Percent |
## | Total Percent |
## |-------------------------|
##
## Total Observations in Table: 3410
##
## | data$Q1_12
## data$Gender | 0 | 1 | Row Total |
## -------------|-----------|-----------|-----------|
## Female | 277 | 996 | 1273 |
## | 12.350 | 2.642 | |
## | 21.760% | 78.240% | 37.331% |
## | 46.090% | 35.457% | |
## | 8.123% | 29.208% | |
## -------------|-----------|-----------|-----------|
## Male | 324 | 1813 | 2137 |
## | 7.357 | 1.574 | |
## | 15.161% | 84.839% | 62.669% |
## | 53.910% | 64.543% | |
## | 9.501% | 53.167% | |
## -------------|-----------|-----------|-----------|
## Column Total | 601 | 2809 | 3410 |
## | 17.625% | 82.375% | |
## -------------|-----------|-----------|-----------|
##
##
## Statistics for All Table Factors
##
##
## Pearson's Chi-squared test
## ------------------------------------------------------------
## Chi^2 = 23.92267 d.f. = 1 p = 1.002839e-06
##
## Pearson's Chi-squared test with Yates' continuity correction
## ------------------------------------------------------------
## Chi^2 = 23.47036 d.f. = 1 p = 1.268534e-06
##
##
## Minimum expected frequency: 224.3616
##
## NULL
| n | Mean | n | Mean | n | Mean | n | Mean | n | Mean | n | Mean | n | Mean | n | Mean | n | Mean | n | Mean | n | Mean | n | Mean | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Q1_13_coaching | 179 | 5,03 | 125 | 4,90 | 304 | 4,98 | 29 | 5,00 | 63 | 4,65 | 92 | 4,76 | 37 | 5,38 | 30 | 5,03 | 67 | 5,22 | 245 | 5,08 | 218 | 4,84 | 463 | 4,97 |
| Q1_13_counseling | 262 | 4,83 | 363 | 4,85 | 625 | 4,84 | 114 | 4,66 | 413 | 4,42 | 527 | 4,47 | 119 | 4,76 | 613 | 4,37 | 732 | 4,43 | 495 | 4,77 | 1.389 | 4,51 | 1.884 | 4,58 |
| Q1_13_guidance | 440 | 5,08 | 445 | 4,97 | 885 | 5,02 | 53 | 5,00 | 177 | 4,55 | 230 | 4,65 | 70 | 5,26 | 404 | 4,53 | 474 | 4,64 | 563 | 5,09 | 1.026 | 4,73 | 1.589 | 4,86 |
| Q1_13_ltskills | 289 | 5,13 | 202 | 5,04 | 491 | 5,09 | 34 | 4,91 | 81 | 4,89 | 115 | 4,90 | 25 | 5,56 | 80 | 4,92 | 105 | 5,08 | 348 | 5,14 | 363 | 4,98 | 711 | 5,06 |
| Q1_13_pss | 52 | 4,83 | 40 | 4,47 | 92 | 4,67 | 34 | 4,79 | 110 | 4,49 | 144 | 4,56 | 50 | 5,38 | 59 | 4,90 | 109 | 5,12 | 136 | 5,02 | 209 | 4,60 | 345 | 4,77 |
| Q1_13_reintegration | 53 | 4,58 | 190 | 4,96 | 243 | 4,88 | 103 | 4,61 | 412 | 4,48 | 515 | 4,50 | 108 | 4,83 | 590 | 4,48 | 698 | 4,53 | 264 | 4,70 | 1.192 | 4,55 | 1.456 | 4,58 |
| Q1_13_startup | 541 | 5,18 | 429 | 5,09 | 970 | 5,14 | 117 | 4,65 | 429 | 4,64 | 546 | 4,64 | 116 | 4,93 | 541 | 4,48 | 657 | 4,56 | 774 | 5,06 | 1.399 | 4,71 | 2.173 | 4,84 |
| Q1_13_stskills | 405 | 5,23 | 435 | 5,18 | 840 | 5,20 | 63 | 5,37 | 207 | 4,89 | 270 | 5,00 | 77 | 5,38 | 356 | 4,76 | 433 | 4,87 | 545 | 5,27 | 998 | 4,97 | 1.543 | 5,08 |
| n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | 7 | 87,5% | 1 | 12,5% | 8 | 100,0% | 2 | 22,2% | 7 | 77,8% | 9 | 100,0% | – | – | 3 | 100,0% | 3 | 100,0% | 9 | 45,0% | 11 | 55,0% | 20 | 100,0% |
| 3 | 21 | 50,0% | 21 | 50,0% | 42 | 100,0% | 3 | 10,7% | 25 | 89,3% | 28 | 100,0% | 1 | 2,8% | 35 | 97,2% | 36 | 100,0% | 25 | 23,6% | 81 | 76,4% | 106 | 100,0% |
| 4 | 79 | 36,7% | 136 | 63,3% | 215 | 100,0% | 9 | 17,3% | 43 | 82,7% | 52 | 100,0% | 10 | 5,2% | 182 | 94,8% | 192 | 100,0% | 98 | 21,4% | 361 | 78,6% | 459 | 100,0% |
| 5 | 150 | 56,2% | 117 | 43,8% | 267 | 100,0% | 16 | 20,8% | 61 | 79,2% | 77 | 100,0% | 29 | 20,9% | 110 | 79,1% | 139 | 100,0% | 195 | 40,4% | 288 | 59,6% | 483 | 100,0% |
| 6 | 183 | 51,8% | 170 | 48,2% | 353 | 100,0% | 23 | 35,9% | 41 | 64,1% | 64 | 100,0% | 30 | 28,8% | 74 | 71,2% | 104 | 100,0% | 236 | 45,3% | 285 | 54,7% | 521 | 100,0% |
| n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | 2 | 66,7% | 1 | 33,3% | 3 | 100,0% | 1 | 50,0% | 1 | 50,0% | 2 | 100,0% | 1 | 50,0% | 1 | 50,0% | 2 | 100,0% | 4 | 57,1% | 3 | 42,9% | 7 | 100,0% |
| 2 | 1 | 100,0% | – | – | 1 | 100,0% | – | – | 1 | 100,0% | 1 | 100,0% | – | – | 2 | 100,0% | 2 | 100,0% | 1 | 25,0% | 3 | 75,0% | 4 | 100,0% |
| 3 | 22 | 64,7% | 12 | 35,3% | 34 | 100,0% | – | – | 19 | 100,0% | 19 | 100,0% | 1 | 4,5% | 21 | 95,5% | 22 | 100,0% | 23 | 30,7% | 52 | 69,3% | 75 | 100,0% |
| 4 | 63 | 40,6% | 92 | 59,4% | 155 | 100,0% | 7 | 12,7% | 48 | 87,3% | 55 | 100,0% | 10 | 8,2% | 112 | 91,8% | 122 | 100,0% | 80 | 24,1% | 252 | 75,9% | 332 | 100,0% |
| 5 | 106 | 44,7% | 131 | 55,3% | 237 | 100,0% | 21 | 23,9% | 67 | 76,1% | 88 | 100,0% | 20 | 12,3% | 142 | 87,7% | 162 | 100,0% | 147 | 30,2% | 340 | 69,8% | 487 | 100,0% |
| 6 | 211 | 51,5% | 199 | 48,5% | 410 | 100,0% | 34 | 32,4% | 71 | 67,6% | 105 | 100,0% | 45 | 36,6% | 78 | 63,4% | 123 | 100,0% | 290 | 45,5% | 348 | 54,5% | 638 | 100,0% |
| n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | 4 | 44,4% | 5 | 55,6% | 9 | 100,0% | 1 | 50,0% | 1 | 50,0% | 2 | 100,0% | 1 | 100,0% | – | – | 1 | 100,0% | 6 | 50,0% | 6 | 50,0% | 12 | 100,0% |
| 2 | – | – | – | – | – | – | 1 | 50,0% | 1 | 50,0% | 2 | 100,0% | – | – | 1 | 100,0% | 1 | 100,0% | 1 | 33,3% | 2 | 66,7% | 3 | 100,0% |
| 3 | 7 | 50,0% | 7 | 50,0% | 14 | 100,0% | 2 | 22,2% | 7 | 77,8% | 9 | 100,0% | – | – | 1 | 100,0% | 1 | 100,0% | 9 | 37,5% | 15 | 62,5% | 24 | 100,0% |
| 4 | 64 | 59,8% | 43 | 40,2% | 107 | 100,0% | 7 | 29,2% | 17 | 70,8% | 24 | 100,0% | – | – | 24 | 100,0% | 24 | 100,0% | 71 | 45,8% | 84 | 54,2% | 155 | 100,0% |
| 5 | 82 | 56,9% | 62 | 43,1% | 144 | 100,0% | 8 | 23,5% | 26 | 76,5% | 34 | 100,0% | 6 | 16,2% | 31 | 83,8% | 37 | 100,0% | 96 | 44,7% | 119 | 55,3% | 215 | 100,0% |
| 6 | 132 | 60,8% | 85 | 39,2% | 217 | 100,0% | 15 | 34,1% | 29 | 65,9% | 44 | 100,0% | 18 | 43,9% | 23 | 56,1% | 41 | 100,0% | 165 | 54,6% | 137 | 45,4% | 302 | 100,0% |
| n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | 11 | 68,8% | 5 | 31,2% | 16 | 100,0% | 2 | 18,2% | 9 | 81,8% | 11 | 100,0% | 2 | 14,3% | 12 | 85,7% | 14 | 100,0% | 15 | 36,6% | 26 | 63,4% | 41 | 100,0% |
| 2 | 2 | 100,0% | – | – | 2 | 100,0% | 1 | 50,0% | 1 | 50,0% | 2 | 100,0% | – | – | 2 | 100,0% | 2 | 100,0% | 3 | 50,0% | 3 | 50,0% | 6 | 100,0% |
| 3 | 15 | 40,5% | 22 | 59,5% | 37 | 100,0% | 13 | 14,9% | 74 | 85,1% | 87 | 100,0% | 13 | 12,5% | 91 | 87,5% | 104 | 100,0% | 41 | 18,0% | 187 | 82,0% | 228 | 100,0% |
| 4 | 56 | 36,8% | 96 | 63,2% | 152 | 100,0% | 29 | 17,1% | 141 | 82,9% | 170 | 100,0% | 35 | 12,8% | 238 | 87,2% | 273 | 100,0% | 120 | 20,2% | 475 | 79,8% | 595 | 100,0% |
| 5 | 87 | 39,2% | 135 | 60,8% | 222 | 100,0% | 42 | 30,0% | 98 | 70,0% | 140 | 100,0% | 28 | 13,3% | 182 | 86,7% | 210 | 100,0% | 157 | 27,4% | 415 | 72,6% | 572 | 100,0% |
| 6 | 91 | 46,4% | 105 | 53,6% | 196 | 100,0% | 27 | 23,1% | 90 | 76,9% | 117 | 100,0% | 41 | 31,8% | 88 | 68,2% | 129 | 100,0% | 159 | 36,0% | 283 | 64,0% | 442 | 100,0% |
| n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | 2 | 33,3% | 4 | 66,7% | 6 | 100,0% | 1 | 25,0% | 3 | 75,0% | 4 | 100,0% | 1 | 100,0% | – | – | 1 | 100,0% | 4 | 36,4% | 7 | 63,6% | 11 | 100,0% |
| 3 | 10 | 58,8% | 7 | 41,2% | 17 | 100,0% | 3 | 37,5% | 5 | 62,5% | 8 | 100,0% | 1 | 33,3% | 2 | 66,7% | 3 | 100,0% | 14 | 50,0% | 14 | 50,0% | 28 | 100,0% |
| 4 | 33 | 57,9% | 24 | 42,1% | 57 | 100,0% | 4 | 18,2% | 18 | 81,8% | 22 | 100,0% | 3 | 27,3% | 8 | 72,7% | 11 | 100,0% | 40 | 44,4% | 50 | 55,6% | 90 | 100,0% |
| 5 | 67 | 57,8% | 49 | 42,2% | 116 | 100,0% | 7 | 26,9% | 19 | 73,1% | 26 | 100,0% | 9 | 56,2% | 7 | 43,8% | 16 | 100,0% | 83 | 52,5% | 75 | 47,5% | 158 | 100,0% |
| 6 | 67 | 62,0% | 41 | 38,0% | 108 | 100,0% | 14 | 43,8% | 18 | 56,2% | 32 | 100,0% | 23 | 63,9% | 13 | 36,1% | 36 | 100,0% | 104 | 59,1% | 72 | 40,9% | 176 | 100,0% |
| n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | 8 | 66,7% | 4 | 33,3% | 12 | 100,0% | – | – | 4 | 100,0% | 4 | 100,0% | 1 | 10,0% | 9 | 90,0% | 10 | 100,0% | 9 | 34,6% | 17 | 65,4% | 26 | 100,0% |
| 2 | 1 | 50,0% | 1 | 50,0% | 2 | 100,0% | – | – | 3 | 100,0% | 3 | 100,0% | – | – | 2 | 100,0% | 2 | 100,0% | 1 | 14,3% | 6 | 85,7% | 7 | 100,0% |
| 3 | 20 | 50,0% | 20 | 50,0% | 40 | 100,0% | 18 | 23,7% | 58 | 76,3% | 76 | 100,0% | 12 | 14,6% | 70 | 85,4% | 82 | 100,0% | 50 | 25,3% | 148 | 74,7% | 198 | 100,0% |
| 4 | 105 | 56,5% | 81 | 43,5% | 186 | 100,0% | 34 | 22,1% | 120 | 77,9% | 154 | 100,0% | 29 | 12,1% | 210 | 87,9% | 239 | 100,0% | 168 | 29,0% | 411 | 71,0% | 579 | 100,0% |
| 5 | 132 | 48,0% | 143 | 52,0% | 275 | 100,0% | 36 | 20,6% | 139 | 79,4% | 175 | 100,0% | 25 | 15,0% | 142 | 85,0% | 167 | 100,0% | 193 | 31,3% | 424 | 68,7% | 617 | 100,0% |
| 6 | 275 | 60,4% | 180 | 39,6% | 455 | 100,0% | 29 | 21,6% | 105 | 78,4% | 134 | 100,0% | 49 | 31,2% | 108 | 68,8% | 157 | 100,0% | 353 | 47,3% | 393 | 52,7% | 746 | 100,0% |
| n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | 4 | 57,1% | 3 | 42,9% | 7 | 100,0% | 3 | 42,9% | 4 | 57,1% | 7 | 100,0% | 1 | 7,7% | 12 | 92,3% | 13 | 100,0% | 8 | 29,6% | 19 | 70,4% | 27 | 100,0% |
| 2 | – | – | – | – | – | – | – | – | 4 | 100,0% | 4 | 100,0% | – | – | 1 | 100,0% | 1 | 100,0% | – | – | 5 | 100,0% | 5 | 100,0% |
| 3 | 3 | 37,5% | 5 | 62,5% | 8 | 100,0% | 13 | 17,3% | 62 | 82,7% | 75 | 100,0% | 11 | 14,9% | 63 | 85,1% | 74 | 100,0% | 27 | 17,2% | 130 | 82,8% | 157 | 100,0% |
| 4 | 16 | 25,8% | 46 | 74,2% | 62 | 100,0% | 25 | 14,3% | 150 | 85,7% | 175 | 100,0% | 25 | 10,5% | 213 | 89,5% | 238 | 100,0% | 66 | 13,9% | 409 | 86,1% | 475 | 100,0% |
| 5 | 14 | 15,6% | 76 | 84,4% | 90 | 100,0% | 39 | 27,1% | 105 | 72,9% | 144 | 100,0% | 38 | 14,8% | 219 | 85,2% | 257 | 100,0% | 91 | 18,5% | 400 | 81,5% | 491 | 100,0% |
| 6 | 16 | 21,1% | 60 | 78,9% | 76 | 100,0% | 23 | 20,9% | 87 | 79,1% | 110 | 100,0% | 33 | 28,7% | 82 | 71,3% | 115 | 100,0% | 72 | 23,9% | 229 | 76,1% | 301 | 100,0% |
| n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | 6 | 54,5% | 5 | 45,5% | 11 | 100,0% | 1 | 16,7% | 5 | 83,3% | 6 | 100,0% | – | – | – | – | – | – | 7 | 41,2% | 10 | 58,8% | 17 | 100,0% |
| 2 | – | – | – | – | – | – | – | – | 4 | 100,0% | 4 | 100,0% | – | – | – | – | – | – | – | – | 4 | 100,0% | 4 | 100,0% |
| 3 | – | – | 1 | 100,0% | 1 | 100,0% | 5 | 21,7% | 18 | 78,3% | 23 | 100,0% | 2 | 25,0% | 6 | 75,0% | 8 | 100,0% | 7 | 21,9% | 25 | 78,1% | 32 | 100,0% |
| 4 | 8 | 44,4% | 10 | 55,6% | 18 | 100,0% | 8 | 27,6% | 21 | 72,4% | 29 | 100,0% | 7 | 33,3% | 14 | 66,7% | 21 | 100,0% | 23 | 33,8% | 45 | 66,2% | 68 | 100,0% |
| 5 | 15 | 53,6% | 13 | 46,4% | 28 | 100,0% | 5 | 14,7% | 29 | 85,3% | 34 | 100,0% | 11 | 36,7% | 19 | 63,3% | 30 | 100,0% | 31 | 33,7% | 61 | 66,3% | 92 | 100,0% |
| 6 | 23 | 67,6% | 11 | 32,4% | 34 | 100,0% | 15 | 31,2% | 33 | 68,8% | 48 | 100,0% | 30 | 60,0% | 20 | 40,0% | 50 | 100,0% | 68 | 51,5% | 64 | 48,5% | 132 | 100,0% |
| n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| No | 493 | 59,5% | 335 | 40,5% | 828 | 100,0% | 102 | 23,4% | 333 | 76,6% | 435 | 100,0% | 97 | 27,1% | 261 | 72,9% | 358 | 100,0% | 692 | 42,7% | 929 | 57,3% | 1621 | 100,0% |
| Yes, but for reasons unrelated to PME support measures | 119 | 50,4% | 117 | 49,6% | 236 | 100,0% | 32 | 18,3% | 143 | 81,7% | 175 | 100,0% | 31 | 22,6% | 106 | 77,4% | 137 | 100,0% | 182 | 33,2% | 366 | 66,8% | 548 | 100,0% |
| Yes, directly due to the following PME support measures iden | 296 | 48,1% | 319 | 51,9% | 615 | 100,0% | 55 | 25,1% | 164 | 74,9% | 219 | 100,0% | 48 | 11,8% | 359 | 88,2% | 407 | 100,0% | 399 | 32,2% | 842 | 67,8% | 1241 | 100,0% |
| n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| No | 156 | 55,9% | 123 | 44,1% | 279 | 100,0% | 22 | 31,4% | 48 | 68,6% | 70 | 100,0% | 11 | 22,0% | 39 | 78,0% | 50 | 100,0% | 189 | 47,4% | 210 | 52,6% | 399 | 100,0% |
| Yes, but for reasons unrelated to PME support measures | 47 | 54,0% | 40 | 46,0% | 87 | 100,0% | 17 | 28,8% | 42 | 71,2% | 59 | 100,0% | 11 | 39,3% | 17 | 60,7% | 28 | 100,0% | 75 | 43,1% | 99 | 56,9% | 174 | 100,0% |
| Yes, directly due to the following PME support measures iden | 9 | 64,3% | 5 | 35,7% | 14 | 100,0% | 2 | 25,0% | 6 | 75,0% | 8 | 100,0% | 2 | 33,3% | 4 | 66,7% | 6 | 100,0% | 13 | 46,4% | 15 | 53,6% | 28 | 100,0% |
| n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| No | 337 | 61,4% | 212 | 38,6% | 549 | 100,0% | 80 | 21,9% | 285 | 78,1% | 365 | 100,0% | 86 | 27,9% | 222 | 72,1% | 308 | 100,0% | 503 | 41,2% | 719 | 58,8% | 1222 | 100,0% |
| Yes, but for reasons unrelated to PME support measures | 72 | 48,3% | 77 | 51,7% | 149 | 100,0% | 15 | 12,9% | 101 | 87,1% | 116 | 100,0% | 20 | 18,3% | 89 | 81,7% | 109 | 100,0% | 107 | 28,6% | 267 | 71,4% | 374 | 100,0% |
| Yes, directly due to the following PME support measures iden | 287 | 47,8% | 314 | 52,2% | 601 | 100,0% | 53 | 25,1% | 158 | 74,9% | 211 | 100,0% | 46 | 11,5% | 355 | 88,5% | 401 | 100,0% | 386 | 31,8% | 827 | 68,2% | 1213 | 100,0% |
| n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Q1_4_employm_stat__1 | 128 | 48,5% | 136 | 51,5% | 264 | 100,0% | 25 | 37,9% | 41 | 62,1% | 66 | 100,0% | 7 | 12,5% | 49 | 87,5% | 56 | 100,0% | 160 | 41,5% | 226 | 58,5% | 386 | 100,0% |
| Q1_4_employm_stat__2 | 78 | 48,8% | 82 | 51,2% | 160 | 100,0% | 31 | 23,8% | 99 | 76,2% | 130 | 100,0% | 19 | 16,8% | 94 | 83,2% | 113 | 100,0% | 128 | 31,8% | 275 | 68,2% | 403 | 100,0% |
| Q1_4_employm_stat__3 | 79 | 55,2% | 64 | 44,8% | 143 | 100,0% | 14 | 24,1% | 44 | 75,9% | 58 | 100,0% | 6 | 17,1% | 29 | 82,9% | 35 | 100,0% | 99 | 41,9% | 137 | 58,1% | 236 | 100,0% |
| Q1_4_employm_stat__4 | 142 | 45,1% | 173 | 54,9% | 315 | 100,0% | 34 | 21,5% | 124 | 78,5% | 158 | 100,0% | 23 | 11,9% | 170 | 88,1% | 193 | 100,0% | 199 | 29,9% | 467 | 70,1% | 666 | 100,0% |
| Q1_4_employm_stat__5 | 459 | 61,5% | 287 | 38,5% | 746 | 100,0% | 56 | 21,5% | 205 | 78,5% | 261 | 100,0% | 78 | 23,6% | 253 | 76,4% | 331 | 100,0% | 593 | 44,3% | 745 | 55,7% | 1338 | 100,0% |
| Q1_4_employm_stat__6 | 3 | 100,0% | – | – | 3 | 100,0% | – | – | – | – | – | – | – | – | – | – | – | – | 3 | 100,0% | – | – | 3 | 100,0% |
| Q1_4_employm_stat__7 | 8 | 44,4% | 10 | 55,6% | 18 | 100,0% | 2 | 33,3% | 4 | 66,7% | 6 | 100,0% | – | – | 8 | 100,0% | 8 | 100,0% | 10 | 31,2% | 22 | 68,8% | 32 | 100,0% |
| Q1_4_employm_stat__8 | 39 | 44,8% | 48 | 55,2% | 87 | 100,0% | 10 | 25,0% | 30 | 75,0% | 40 | 100,0% | 5 | 38,5% | 8 | 61,5% | 13 | 100,0% | 54 | 38,6% | 86 | 61,4% | 140 | 100,0% |
| n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Q1_4_employm_stat__1 | 128 | 14,1% | 136 | 17,6% | 264 | 15,7% | 25 | 13,2% | 41 | 6,4% | 66 | 8,0% | 7 | 4,0% | 49 | 6,7% | 56 | 6,2% | 160 | 12,6% | 226 | 10,6% | 386 | 11,3% |
| Q1_4_employm_stat__2 | 78 | 8,6% | 82 | 10,6% | 160 | 9,5% | 31 | 16,4% | 99 | 15,5% | 130 | 15,7% | 19 | 10,8% | 94 | 12,9% | 113 | 12,5% | 128 | 10,1% | 275 | 12,9% | 403 | 11,8% |
| Q1_4_employm_stat__3 | 79 | 8,7% | 64 | 8,3% | 143 | 8,5% | 14 | 7,4% | 44 | 6,9% | 58 | 7,0% | 6 | 3,4% | 29 | 4,0% | 35 | 3,9% | 99 | 7,8% | 137 | 6,4% | 236 | 6,9% |
| Q1_4_employm_stat__4 | 142 | 15,6% | 173 | 22,4% | 315 | 18,8% | 34 | 18,0% | 124 | 19,4% | 158 | 19,1% | 23 | 13,1% | 170 | 23,4% | 193 | 21,4% | 199 | 15,6% | 467 | 21,9% | 666 | 19,5% |
| Q1_4_employm_stat__5 | 459 | 50,6% | 287 | 37,2% | 746 | 44,4% | 56 | 29,6% | 205 | 32,0% | 261 | 31,5% | 78 | 44,3% | 253 | 34,8% | 331 | 36,7% | 593 | 46,6% | 745 | 34,9% | 1338 | 39,2% |
| Q1_4_employm_stat__6 | 3 | 0,3% | – | – | 3 | 0,2% | – | – | – | – | – | – | – | – | – | – | – | – | 3 | 0,2% | – | – | 3 | 0,1% |
| Q1_4_employm_stat__7 | 8 | 0,9% | 10 | 1,3% | 18 | 1,1% | 2 | 1,1% | 4 | 0,6% | 6 | 0,7% | – | – | 8 | 1,1% | 8 | 0,9% | 10 | 0,8% | 22 | 1,0% | 32 | 0,9% |
| Q1_4_employm_stat__8 | 39 | 4,3% | 48 | 6,2% | 87 | 5,2% | 10 | 5,3% | 30 | 4,7% | 40 | 4,8% | 5 | 2,8% | 8 | 1,1% | 13 | 1,4% | 54 | 4,2% | 86 | 4,0% | 140 | 4,1% |
| n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Q1_4_employm_stat__1 | 45 | 44,1% | 57 | 55,9% | 102 | 100,0% | 11 | 36,7% | 19 | 63,3% | 30 | 100,0% | 3 | 13,6% | 19 | 86,4% | 22 | 100,0% | 59 | 38,3% | 95 | 61,7% | 154 | 100,0% |
| Q1_4_employm_stat__2 | 27 | 56,2% | 21 | 43,8% | 48 | 100,0% | 12 | 41,4% | 17 | 58,6% | 29 | 100,0% | 1 | 12,5% | 7 | 87,5% | 8 | 100,0% | 40 | 47,1% | 45 | 52,9% | 85 | 100,0% |
| Q1_4_employm_stat__3 | 32 | 56,1% | 25 | 43,9% | 57 | 100,0% | 11 | 28,9% | 27 | 71,1% | 38 | 100,0% | 2 | 25,0% | 6 | 75,0% | 8 | 100,0% | 45 | 43,7% | 58 | 56,3% | 103 | 100,0% |
| Q1_4_employm_stat__4 | 25 | 56,8% | 19 | 43,2% | 44 | 100,0% | – | – | 10 | 100,0% | 10 | 100,0% | 3 | 27,3% | 8 | 72,7% | 11 | 100,0% | 28 | 43,1% | 37 | 56,9% | 65 | 100,0% |
| Q1_4_employm_stat__5 | 74 | 63,8% | 42 | 36,2% | 116 | 100,0% | 5 | 22,7% | 17 | 77,3% | 22 | 100,0% | 9 | 50,0% | 9 | 50,0% | 18 | 100,0% | 88 | 56,4% | 68 | 43,6% | 156 | 100,0% |
| Q1_4_employm_stat__6 | 1 | 100,0% | – | – | 1 | 100,0% | – | – | – | – | – | – | – | – | – | – | – | – | 1 | 100,0% | – | – | 1 | 100,0% |
| Q1_4_employm_stat__7 | 2 | 33,3% | 4 | 66,7% | 6 | 100,0% | – | – | – | – | – | – | – | – | 3 | 100,0% | 3 | 100,0% | 2 | 22,2% | 7 | 77,8% | 9 | 100,0% |
| Q1_4_employm_stat__8 | 22 | 66,7% | 11 | 33,3% | 33 | 100,0% | 10 | 33,3% | 20 | 66,7% | 30 | 100,0% | 4 | 66,7% | 2 | 33,3% | 6 | 100,0% | 36 | 52,2% | 33 | 47,8% | 69 | 100,0% |
| n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Permanent employee | 83 | 51,2% | 79 | 48,8% | 162 | 100,0% | 14 | 38,9% | 22 | 61,1% | 36 | 100,0% | 4 | 11,8% | 30 | 88,2% | 34 | 100,0% | 101 | 43,5% | 131 | 56,5% | 232 | 100,0% |
| Fixed-term employee | 51 | 45,5% | 61 | 54,5% | 112 | 100,0% | 19 | 18,8% | 82 | 81,2% | 101 | 100,0% | 18 | 17,1% | 87 | 82,9% | 105 | 100,0% | 88 | 27,7% | 230 | 72,3% | 318 | 100,0% |
| Short-term employee | 47 | 54,7% | 39 | 45,3% | 86 | 100,0% | 3 | 15,0% | 17 | 85,0% | 20 | 100,0% | 4 | 14,8% | 23 | 85,2% | 27 | 100,0% | 54 | 40,6% | 79 | 59,4% | 133 | 100,0% |
| Employer | 117 | 43,2% | 154 | 56,8% | 271 | 100,0% | 34 | 23,0% | 114 | 77,0% | 148 | 100,0% | 20 | 11,0% | 162 | 89,0% | 182 | 100,0% | 171 | 28,5% | 430 | 71,5% | 601 | 100,0% |
| Own account worker | 385 | 61,1% | 245 | 38,9% | 630 | 100,0% | 51 | 21,3% | 188 | 78,7% | 239 | 100,0% | 69 | 22,0% | 244 | 78,0% | 313 | 100,0% | 505 | 42,7% | 677 | 57,3% | 1182 | 100,0% |
| Producers’ cooperative | 2 | 100,0% | – | – | 2 | 100,0% | – | – | – | – | – | – | – | – | – | – | – | – | 2 | 100,0% | – | – | 2 | 100,0% |
| Family business | 6 | 50,0% | 6 | 50,0% | 12 | 100,0% | 2 | 33,3% | 4 | 66,7% | 6 | 100,0% | – | – | 5 | 100,0% | 5 | 100,0% | 8 | 34,8% | 15 | 65,2% | 23 | 100,0% |
| Worker not classifiable | 17 | 31,5% | 37 | 68,5% | 54 | 100,0% | – | – | 10 | 100,0% | 10 | 100,0% | 1 | 14,3% | 6 | 85,7% | 7 | 100,0% | 18 | 25,4% | 53 | 74,6% | 71 | 100,0% |
| n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Full-time employment (with a single employer) | 232 | 49,2% | 240 | 50,8% | 472 | 100,0% | 49 | 24,5% | 151 | 75,5% | 200 | 100,0% | 25 | 15,8% | 133 | 84,2% | 158 | 100,0% | 306 | 36,9% | 524 | 63,1% | 830 | 100,0% |
| Part-time (as a preference) | 58 | 60,4% | 38 | 39,6% | 96 | 100,0% | 12 | 35,3% | 22 | 64,7% | 34 | 100,0% | 6 | 17,1% | 29 | 82,9% | 35 | 100,0% | 76 | 46,1% | 89 | 53,9% | 165 | 100,0% |
| Part-time (not as a preference) | 30 | 48,4% | 32 | 51,6% | 62 | 100,0% | 2 | 18,2% | 9 | 81,8% | 11 | 100,0% | 2 | 12,5% | 14 | 87,5% | 16 | 100,0% | 34 | 38,2% | 55 | 61,8% | 89 | 100,0% |
| With multiple employers | 5 | 29,4% | 12 | 70,6% | 17 | 100,0% | 10 | 32,3% | 21 | 67,7% | 31 | 100,0% | 3 | 25,0% | 9 | 75,0% | 12 | 100,0% | 18 | 30,0% | 42 | 70,0% | 60 | 100,0% |
| n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Full-time employment (with a single employer) | 232 | 71,4% | 240 | 74,5% | 472 | 73,0% | 49 | 67,1% | 151 | 74,4% | 200 | 72,5% | 25 | 69,4% | 133 | 71,9% | 158 | 71,5% | 306 | 70,5% | 524 | 73,8% | 830 | 72,6% |
| Part-time (as a preference) | 58 | 17,8% | 38 | 11,8% | 96 | 14,8% | 12 | 16,4% | 22 | 10,8% | 34 | 12,3% | 6 | 16,7% | 29 | 15,7% | 35 | 15,8% | 76 | 17,5% | 89 | 12,5% | 165 | 14,4% |
| Part-time (not as a preference) | 30 | 9,2% | 32 | 9,9% | 62 | 9,6% | 2 | 2,7% | 9 | 4,4% | 11 | 4,0% | 2 | 5,6% | 14 | 7,6% | 16 | 7,2% | 34 | 7,8% | 55 | 7,7% | 89 | 7,8% |
| With multiple employers | 5 | 1,5% | 12 | 3,7% | 17 | 2,6% | 10 | 13,7% | 21 | 10,3% | 31 | 11,2% | 3 | 8,3% | 9 | 4,9% | 12 | 5,4% | 18 | 4,1% | 42 | 5,9% | 60 | 5,2% |
| n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Full-time employment (with a single employer) | 91 | 51,4% | 86 | 48,6% | 177 | 100,0% | 21 | 30,0% | 49 | 70,0% | 70 | 100,0% | 6 | 18,2% | 27 | 81,8% | 33 | 100,0% | 118 | 42,1% | 162 | 57,9% | 280 | 100,0% |
| Part-time (as a preference) | 17 | 53,1% | 15 | 46,9% | 32 | 100,0% | 4 | 44,4% | 5 | 55,6% | 9 | 100,0% | 2 | 40,0% | 3 | 60,0% | 5 | 100,0% | 23 | 50,0% | 23 | 50,0% | 46 | 100,0% |
| Part-time (not as a preference) | 14 | 73,7% | 5 | 26,3% | 19 | 100,0% | 2 | 28,6% | 5 | 71,4% | 7 | 100,0% | 1 | 16,7% | 5 | 83,3% | 6 | 100,0% | 17 | 53,1% | 15 | 46,9% | 32 | 100,0% |
| With multiple employers | 2 | 33,3% | 4 | 66,7% | 6 | 100,0% | 9 | 42,9% | 12 | 57,1% | 21 | 100,0% | – | – | 1 | 100,0% | 1 | 100,0% | 11 | 39,3% | 17 | 60,7% | 28 | 100,0% |
| n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Full-time employment (with a single employer) | 141 | 47,8% | 154 | 52,2% | 295 | 100,0% | 28 | 21,5% | 102 | 78,5% | 130 | 100,0% | 19 | 15,2% | 106 | 84,8% | 125 | 100,0% | 188 | 34,2% | 362 | 65,8% | 550 | 100,0% |
| Part-time (as a preference) | 41 | 64,1% | 23 | 35,9% | 64 | 100,0% | 8 | 32,0% | 17 | 68,0% | 25 | 100,0% | 4 | 13,3% | 26 | 86,7% | 30 | 100,0% | 53 | 44,5% | 66 | 55,5% | 119 | 100,0% |
| Part-time (not as a preference) | 16 | 37,2% | 27 | 62,8% | 43 | 100,0% | – | – | 4 | 100,0% | 4 | 100,0% | 1 | 10,0% | 9 | 90,0% | 10 | 100,0% | 17 | 29,8% | 40 | 70,2% | 57 | 100,0% |
| With multiple employers | 3 | 27,3% | 8 | 72,7% | 11 | 100,0% | 1 | 10,0% | 9 | 90,0% | 10 | 100,0% | 3 | 27,3% | 8 | 72,7% | 11 | 100,0% | 7 | 21,9% | 25 | 78,1% | 32 | 100,0% |
| n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Full-time employment (with a single employer) | 141 | 47,8% | 154 | 52,2% | 295 | 100,0% | 28 | 21,5% | 102 | 78,5% | 130 | 100,0% | 19 | 15,2% | 106 | 84,8% | 125 | 100,0% | 188 | 34,2% | 362 | 65,8% | 550 | 100,0% |
| Part-time (as a preference) | 41 | 64,1% | 23 | 35,9% | 64 | 100,0% | 8 | 32,0% | 17 | 68,0% | 25 | 100,0% | 4 | 13,3% | 26 | 86,7% | 30 | 100,0% | 53 | 44,5% | 66 | 55,5% | 119 | 100,0% |
| Part-time (not as a preference) | 16 | 37,2% | 27 | 62,8% | 43 | 100,0% | – | – | 4 | 100,0% | 4 | 100,0% | 1 | 10,0% | 9 | 90,0% | 10 | 100,0% | 17 | 29,8% | 40 | 70,2% | 57 | 100,0% |
| With multiple employers | 3 | 27,3% | 8 | 72,7% | 11 | 100,0% | 1 | 10,0% | 9 | 90,0% | 10 | 100,0% | 3 | 27,3% | 8 | 72,7% | 11 | 100,0% | 7 | 21,9% | 25 | 78,1% | 32 | 100,0% |
| n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Agriculture, forestry and fisheries | 33 | 32,0% | 70 | 68,0% | 103 | 100,0% | 16 | 23,5% | 52 | 76,5% | 68 | 100,0% | 5 | 11,6% | 38 | 88,4% | 43 | 100,0% | 54 | 25,2% | 160 | 74,8% | 214 | 100,0% |
| Construction | 8 | 11,9% | 59 | 88,1% | 67 | 100,0% | 1 | 1,3% | 78 | 98,7% | 79 | 100,0% | 3 | 7,0% | 40 | 93,0% | 43 | 100,0% | 12 | 6,3% | 177 | 93,7% | 189 | 100,0% |
| Education and Healthcare (public and private), Social Welfar | 56 | 62,9% | 33 | 37,1% | 89 | 100,0% | 6 | 46,2% | 7 | 53,8% | 13 | 100,0% | 9 | 47,4% | 10 | 52,6% | 19 | 100,0% | 71 | 58,7% | 50 | 41,3% | 121 | 100,0% |
| Manufacturing or extraction (i.e. mining) | 43 | 81,1% | 10 | 18,9% | 53 | 100,0% | 3 | 7,7% | 36 | 92,3% | 39 | 100,0% | 11 | 31,4% | 24 | 68,6% | 35 | 100,0% | 57 | 44,9% | 70 | 55,1% | 127 | 100,0% |
| Other | 284 | 65,3% | 151 | 34,7% | 435 | 100,0% | 66 | 35,1% | 122 | 64,9% | 188 | 100,0% | 42 | 35,6% | 76 | 64,4% | 118 | 100,0% | 392 | 52,9% | 349 | 47,1% | 741 | 100,0% |
| Public sector (including public utilities) | 20 | 46,5% | 23 | 53,5% | 43 | 100,0% | 7 | 15,9% | 37 | 84,1% | 44 | 100,0% | 5 | 17,9% | 23 | 82,1% | 28 | 100,0% | 32 | 27,8% | 83 | 72,2% | 115 | 100,0% |
| Sales (including vehicle repair) | 100 | 65,8% | 52 | 34,2% | 152 | 100,0% | 35 | 19,0% | 149 | 81,0% | 184 | 100,0% | 27 | 13,1% | 179 | 86,9% | 206 | 100,0% | 162 | 29,9% | 380 | 70,1% | 542 | 100,0% |
| Service sector (including privatized utilities) | 364 | 49,4% | 373 | 50,6% | 737 | 100,0% | 55 | 25,7% | 159 | 74,3% | 214 | 100,0% | 74 | 18,0% | 336 | 82,0% | 410 | 100,0% | 493 | 36,2% | 868 | 63,8% | 1361 | 100,0% |
| n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Agriculture, forestry and fisheries | 33 | 3,6% | 70 | 9,1% | 103 | 6,1% | 16 | 8,5% | 52 | 8,1% | 68 | 8,2% | 5 | 2,8% | 38 | 5,2% | 43 | 4,8% | 54 | 4,2% | 160 | 7,5% | 214 | 6,3% |
| Construction | 8 | 0,9% | 59 | 7,7% | 67 | 4,0% | 1 | 0,5% | 78 | 12,2% | 79 | 9,5% | 3 | 1,7% | 40 | 5,5% | 43 | 4,8% | 12 | 0,9% | 177 | 8,3% | 189 | 5,5% |
| Education and Healthcare (public and private), Social Welfar | 56 | 6,2% | 33 | 4,3% | 89 | 5,3% | 6 | 3,2% | 7 | 1,1% | 13 | 1,6% | 9 | 5,1% | 10 | 1,4% | 19 | 2,1% | 71 | 5,6% | 50 | 2,3% | 121 | 3,5% |
| Manufacturing or extraction (i.e. mining) | 43 | 4,7% | 10 | 1,3% | 53 | 3,2% | 3 | 1,6% | 36 | 5,6% | 39 | 4,7% | 11 | 6,2% | 24 | 3,3% | 35 | 3,9% | 57 | 4,5% | 70 | 3,3% | 127 | 3,7% |
| Other | 284 | 31,3% | 151 | 19,6% | 435 | 25,9% | 66 | 34,9% | 122 | 19,1% | 188 | 22,7% | 42 | 23,9% | 76 | 10,5% | 118 | 13,1% | 392 | 30,8% | 349 | 16,3% | 741 | 21,7% |
| Public sector (including public utilities) | 20 | 2,2% | 23 | 3,0% | 43 | 2,6% | 7 | 3,7% | 37 | 5,8% | 44 | 5,3% | 5 | 2,8% | 23 | 3,2% | 28 | 3,1% | 32 | 2,5% | 83 | 3,9% | 115 | 3,4% |
| Sales (including vehicle repair) | 100 | 11,0% | 52 | 6,7% | 152 | 9,1% | 35 | 18,5% | 149 | 23,3% | 184 | 22,2% | 27 | 15,3% | 179 | 24,7% | 206 | 22,8% | 162 | 12,7% | 380 | 17,8% | 542 | 15,9% |
| Service sector (including privatized utilities) | 364 | 40,1% | 373 | 48,4% | 737 | 43,9% | 55 | 29,1% | 159 | 24,8% | 214 | 25,8% | 74 | 42,0% | 336 | 46,3% | 410 | 45,5% | 493 | 38,7% | 868 | 40,6% | 1361 | 39,9% |
| n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Agriculture, forestry and fisheries | 9 | 39,1% | 14 | 60,9% | 23 | 100,0% | 1 | 7,7% | 12 | 92,3% | 13 | 100,0% | 1 | 25,0% | 3 | 75,0% | 4 | 100,0% | 11 | 27,5% | 29 | 72,5% | 40 | 100,0% |
| Construction | 4 | 21,1% | 15 | 78,9% | 19 | 100,0% | – | – | 18 | 100,0% | 18 | 100,0% | 2 | 15,4% | 11 | 84,6% | 13 | 100,0% | 6 | 12,0% | 44 | 88,0% | 50 | 100,0% |
| Education and Healthcare (public and private), Social Welfar | 24 | 57,1% | 18 | 42,9% | 42 | 100,0% | 3 | 75,0% | 1 | 25,0% | 4 | 100,0% | 1 | 25,0% | 3 | 75,0% | 4 | 100,0% | 28 | 56,0% | 22 | 44,0% | 50 | 100,0% |
| Manufacturing or extraction (i.e. mining) | 9 | 90,0% | 1 | 10,0% | 10 | 100,0% | 3 | 23,1% | 10 | 76,9% | 13 | 100,0% | 2 | 40,0% | 3 | 60,0% | 5 | 100,0% | 14 | 50,0% | 14 | 50,0% | 28 | 100,0% |
| Other | 58 | 70,7% | 24 | 29,3% | 82 | 100,0% | 11 | 55,0% | 9 | 45,0% | 20 | 100,0% | 7 | 77,8% | 2 | 22,2% | 9 | 100,0% | 76 | 68,5% | 35 | 31,5% | 111 | 100,0% |
| Public sector (including public utilities) | 7 | 31,8% | 15 | 68,2% | 22 | 100,0% | 3 | 33,3% | 6 | 66,7% | 9 | 100,0% | – | – | 1 | 100,0% | 1 | 100,0% | 10 | 31,2% | 22 | 68,8% | 32 | 100,0% |
| Sales (including vehicle repair) | 32 | 69,6% | 14 | 30,4% | 46 | 100,0% | 5 | 27,8% | 13 | 72,2% | 18 | 100,0% | 4 | 22,2% | 14 | 77,8% | 18 | 100,0% | 41 | 50,0% | 41 | 50,0% | 82 | 100,0% |
| Service sector (including privatized utilities) | 69 | 50,7% | 67 | 49,3% | 136 | 100,0% | 15 | 35,7% | 27 | 64,3% | 42 | 100,0% | 7 | 23,3% | 23 | 76,7% | 30 | 100,0% | 91 | 43,8% | 117 | 56,2% | 208 | 100,0% |
| n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Agriculture, forestry and fisheries | 24 | 30,0% | 56 | 70,0% | 80 | 100,0% | 15 | 27,3% | 40 | 72,7% | 55 | 100,0% | 4 | 10,3% | 35 | 89,7% | 39 | 100,0% | 43 | 24,7% | 131 | 75,3% | 174 | 100,0% |
| Construction | 4 | 8,3% | 44 | 91,7% | 48 | 100,0% | 1 | 1,6% | 60 | 98,4% | 61 | 100,0% | 1 | 3,3% | 29 | 96,7% | 30 | 100,0% | 6 | 4,3% | 133 | 95,7% | 139 | 100,0% |
| Education and Healthcare (public and private), Social Welfar | 32 | 68,1% | 15 | 31,9% | 47 | 100,0% | 3 | 33,3% | 6 | 66,7% | 9 | 100,0% | 8 | 53,3% | 7 | 46,7% | 15 | 100,0% | 43 | 60,6% | 28 | 39,4% | 71 | 100,0% |
| Manufacturing or extraction (i.e. mining) | 34 | 79,1% | 9 | 20,9% | 43 | 100,0% | – | – | 26 | 100,0% | 26 | 100,0% | 9 | 30,0% | 21 | 70,0% | 30 | 100,0% | 43 | 43,4% | 56 | 56,6% | 99 | 100,0% |
| Other | 226 | 64,0% | 127 | 36,0% | 353 | 100,0% | 55 | 32,7% | 113 | 67,3% | 168 | 100,0% | 35 | 32,1% | 74 | 67,9% | 109 | 100,0% | 316 | 50,2% | 314 | 49,8% | 630 | 100,0% |
| Public sector (including public utilities) | 13 | 61,9% | 8 | 38,1% | 21 | 100,0% | 4 | 11,4% | 31 | 88,6% | 35 | 100,0% | 5 | 18,5% | 22 | 81,5% | 27 | 100,0% | 22 | 26,5% | 61 | 73,5% | 83 | 100,0% |
| Sales (including vehicle repair) | 68 | 64,2% | 38 | 35,8% | 106 | 100,0% | 30 | 18,1% | 136 | 81,9% | 166 | 100,0% | 23 | 12,2% | 165 | 87,8% | 188 | 100,0% | 121 | 26,3% | 339 | 73,7% | 460 | 100,0% |
| Service sector (including privatized utilities) | 295 | 49,1% | 306 | 50,9% | 601 | 100,0% | 40 | 23,3% | 132 | 76,7% | 172 | 100,0% | 67 | 17,6% | 313 | 82,4% | 380 | 100,0% | 402 | 34,9% | 751 | 65,1% | 1153 | 100,0% |
| n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| No | 128 | 46,7% | 146 | 53,3% | 274 | 100,0% | 40 | 27,4% | 106 | 72,6% | 146 | 100,0% | 14 | 20,3% | 55 | 79,7% | 69 | 100,0% | 182 | 37,2% | 307 | 62,8% | 489 | 100,0% |
| Yes | 197 | 52,8% | 176 | 47,2% | 373 | 100,0% | 33 | 25,4% | 97 | 74,6% | 130 | 100,0% | 22 | 14,5% | 130 | 85,5% | 152 | 100,0% | 252 | 38,5% | 403 | 61,5% | 655 | 100,0% |
## [1] "Migration Status"
##
## Cell Contents
## |-------------------------|
## | Count |
## | Chi-square contribution |
## | Row Percent |
## | Column Percent |
## | Total Percent |
## |-------------------------|
##
## Total Observations in Table: 1144
##
## | data$Q1_6
## data$Migration | No | Yes | Row Total |
## ------------------------------|-----------|-----------|-----------|
## Local Population | 274 | 373 | 647 |
## | 0.024 | 0.018 | |
## | 42.349% | 57.651% | 56.556% |
## | 56.033% | 56.947% | |
## | 23.951% | 32.605% | |
## ------------------------------|-----------|-----------|-----------|
## Migrants from GER | 146 | 130 | 276 |
## | 6.657 | 4.970 | |
## | 52.899% | 47.101% | 24.126% |
## | 29.857% | 19.847% | |
## | 12.762% | 11.364% | |
## ------------------------------|-----------|-----------|-----------|
## Migrants from third countries | 69 | 152 | 221 |
## | 6.865 | 5.125 | |
## | 31.222% | 68.778% | 19.318% |
## | 14.110% | 23.206% | |
## | 6.031% | 13.287% | |
## ------------------------------|-----------|-----------|-----------|
## Column Total | 489 | 655 | 1144 |
## | 42.745% | 57.255% | |
## ------------------------------|-----------|-----------|-----------|
##
##
## Statistics for All Table Factors
##
##
## Pearson's Chi-squared test
## ------------------------------------------------------------
## Chi^2 = 23.65859 d.f. = 2 p = 7.287907e-06
##
##
##
## Minimum expected frequency: 94.46591
##
## NULL
## [1] "Gender"
##
## Cell Contents
## |-------------------------|
## | Count |
## | Chi-square contribution |
## | Row Percent |
## | Column Percent |
## | Total Percent |
## |-------------------------|
##
## Total Observations in Table: 1144
##
## | data$Q1_6
## data$Gender | No | Yes | Row Total |
## -------------|-----------|-----------|-----------|
## Female | 182 | 252 | 434 |
## | 0.066 | 0.050 | |
## | 41.935% | 58.065% | 37.937% |
## | 37.219% | 38.473% | |
## | 15.909% | 22.028% | |
## -------------|-----------|-----------|-----------|
## Male | 307 | 403 | 710 |
## | 0.041 | 0.030 | |
## | 43.239% | 56.761% | 62.063% |
## | 62.781% | 61.527% | |
## | 26.836% | 35.227% | |
## -------------|-----------|-----------|-----------|
## Column Total | 489 | 655 | 1144 |
## | 42.745% | 57.255% | |
## -------------|-----------|-----------|-----------|
##
##
## Statistics for All Table Factors
##
##
## Pearson's Chi-squared test
## ------------------------------------------------------------
## Chi^2 = 0.1871318 d.f. = 1 p = 0.6653146
##
## Pearson's Chi-squared test with Yates' continuity correction
## ------------------------------------------------------------
## Chi^2 = 0.1376443 d.f. = 1 p = 0.7106342
##
##
## Minimum expected frequency: 185.5122
##
## NULL
| n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| No | 88 | 51,5% | 83 | 48,5% | 171 | 100,0% | 32 | 35,6% | 58 | 64,4% | 90 | 100,0% | 8 | 22,9% | 27 | 77,1% | 35 | 100,0% | 128 | 43,2% | 168 | 56,8% | 296 | 100,0% |
| Yes | 36 | 57,1% | 27 | 42,9% | 63 | 100,0% | 4 | 23,5% | 13 | 76,5% | 17 | 100,0% | 1 | 10,0% | 9 | 90,0% | 10 | 100,0% | 41 | 45,6% | 49 | 54,4% | 90 | 100,0% |
| n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| No | 40 | 38,8% | 63 | 61,2% | 103 | 100,0% | 8 | 14,3% | 48 | 85,7% | 56 | 100,0% | 6 | 17,6% | 28 | 82,4% | 34 | 100,0% | 54 | 28,0% | 139 | 72,0% | 193 | 100,0% |
| Yes | 161 | 51,9% | 149 | 48,1% | 310 | 100,0% | 29 | 25,7% | 84 | 74,3% | 113 | 100,0% | 21 | 14,8% | 121 | 85,2% | 142 | 100,0% | 211 | 37,3% | 354 | 62,7% | 565 | 100,0% |
| n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| No | 272 | 50,9% | 262 | 49,1% | 534 | 100,0% | 65 | 27,1% | 175 | 72,9% | 240 | 100,0% | 32 | 16,8% | 158 | 83,2% | 190 | 100,0% | 369 | 38,3% | 595 | 61,7% | 964 | 100,0% |
| Yes | 53 | 46,9% | 60 | 53,1% | 113 | 100,0% | 8 | 22,2% | 28 | 77,8% | 36 | 100,0% | 4 | 12,9% | 27 | 87,1% | 31 | 100,0% | 65 | 36,1% | 115 | 63,9% | 180 | 100,0% |
| n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| No | 112 | 53,8% | 96 | 46,2% | 208 | 100,0% | 36 | 34,6% | 68 | 65,4% | 104 | 100,0% | 9 | 20,5% | 35 | 79,5% | 44 | 100,0% | 157 | 44,1% | 199 | 55,9% | 356 | 100,0% |
| Yes | 12 | 46,2% | 14 | 53,8% | 26 | 100,0% | – | – | 3 | 100,0% | 3 | 100,0% | – | – | 1 | 100,0% | 1 | 100,0% | 12 | 40,0% | 18 | 60,0% | 30 | 100,0% |
| n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| No | 160 | 49,1% | 166 | 50,9% | 326 | 100,0% | 29 | 21,3% | 107 | 78,7% | 136 | 100,0% | 23 | 15,8% | 123 | 84,2% | 146 | 100,0% | 212 | 34,9% | 396 | 65,1% | 608 | 100,0% |
| Yes | 41 | 47,1% | 46 | 52,9% | 87 | 100,0% | 8 | 24,2% | 25 | 75,8% | 33 | 100,0% | 4 | 13,3% | 26 | 86,7% | 30 | 100,0% | 53 | 35,3% | 97 | 64,7% | 150 | 100,0% |
| n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Q2_1_startup_training | 661 | 55,2% | 536 | 44,8% | 1197 | 100,0% | 132 | 21,3% | 488 | 78,7% | 620 | 100,0% | 137 | 19,0% | 583 | 81,0% | 720 | 100,0% | 930 | 36,7% | 1607 | 63,3% | 2537 | 100,0% |
| Q2_1_kit | 587 | 55,3% | 475 | 44,7% | 1062 | 100,0% | 60 | 21,2% | 223 | 78,8% | 283 | 100,0% | 76 | 19,6% | 312 | 80,4% | 388 | 100,0% | 723 | 41,7% | 1010 | 58,3% | 1733 | 100,0% |
| Q2_1_financial | 255 | 62,2% | 155 | 37,8% | 410 | 100,0% | 100 | 20,9% | 379 | 79,1% | 479 | 100,0% | 110 | 25,4% | 323 | 74,6% | 433 | 100,0% | 465 | 35,2% | 857 | 64,8% | 1322 | 100,0% |
| Q2_1_coaching_startup | 346 | 45,1% | 421 | 54,9% | 767 | 100,0% | 54 | 23,7% | 174 | 76,3% | 228 | 100,0% | 77 | 17,7% | 358 | 82,3% | 435 | 100,0% | 477 | 33,4% | 953 | 66,6% | 1430 | 100,0% |
| Q2_1_other | 207 | 55,9% | 163 | 44,1% | 370 | 100,0% | 128 | 26,1% | 363 | 73,9% | 491 | 100,0% | 58 | 22,5% | 200 | 77,5% | 258 | 100,0% | 393 | 35,1% | 726 | 64,9% | 1119 | 100,0% |
| n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Q2_1_startup_training | 661 | 55,2% | 536 | 44,8% | 1197 | 100,0% | 132 | 21,3% | 488 | 78,7% | 620 | 100,0% | 137 | 19,0% | 583 | 81,0% | 720 | 100,0% | 930 | 36,7% | 1607 | 63,3% | 2537 | 100,0% |
| Q2_1_kit | 587 | 55,3% | 475 | 44,7% | 1062 | 100,0% | 60 | 21,2% | 223 | 78,8% | 283 | 100,0% | 76 | 19,6% | 312 | 80,4% | 388 | 100,0% | 723 | 41,7% | 1010 | 58,3% | 1733 | 100,0% |
| Q2_1_financial | 255 | 62,2% | 155 | 37,8% | 410 | 100,0% | 100 | 20,9% | 379 | 79,1% | 479 | 100,0% | 110 | 25,4% | 323 | 74,6% | 433 | 100,0% | 465 | 35,2% | 857 | 64,8% | 1322 | 100,0% |
| Q2_1_coaching_startup | 346 | 45,1% | 421 | 54,9% | 767 | 100,0% | 54 | 23,7% | 174 | 76,3% | 228 | 100,0% | 77 | 17,7% | 358 | 82,3% | 435 | 100,0% | 477 | 33,4% | 953 | 66,6% | 1430 | 100,0% |
| Q2_1_other | 207 | 55,9% | 163 | 44,1% | 370 | 100,0% | 128 | 26,1% | 363 | 73,9% | 491 | 100,0% | 58 | 22,5% | 200 | 77,5% | 258 | 100,0% | 393 | 35,1% | 726 | 64,9% | 1119 | 100,0% |
| n | Mean | n | Mean | n | Mean | n | Mean | n | Mean | n | Mean | n | Mean | n | Mean | n | Mean | n | Mean | n | Mean | n | Mean | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Services received | 749 | 2,74 | 661 | 2,65 | 1.410 | 2,7 | 167 | 2,84 | 589 | 2,76 | 756 | 2,78 | 168 | 2,73 | 687 | 2,59 | 855 | 2,61 | 1.084 | 2,76 | 1.937 | 2,66 | 3.021 | 2,69 |
| n | Mean | n | Mean | n | Mean | n | Mean | n | Mean | n | Mean | n | Mean | n | Mean | n | Mean | n | Mean | n | Mean | n | Mean | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Q2_1_coaching_startup_rate | 346 | 4,10 | 421 | 3,24 | 767 | 3,62 | 54 | 4,07 | 174 | 3,18 | 228 | 3,39 | 77 | 4,06 | 358 | 2,38 | 435 | 2,68 | 477 | 4,09 | 953 | 2,91 | 1.430 | 3,30 |
| Q2_1_financial_rate | 255 | 5,03 | 155 | 4,90 | 410 | 4,98 | 100 | 4,36 | 379 | 4,22 | 479 | 4,25 | 110 | 4,32 | 323 | 4,02 | 433 | 4,10 | 465 | 4,72 | 857 | 4,27 | 1.322 | 4,43 |
| Q2_1_kit_rate | 587 | 5,22 | 475 | 5,01 | 1.062 | 5,13 | 60 | 4,83 | 223 | 4,71 | 283 | 4,74 | 76 | 5,17 | 312 | 4,77 | 388 | 4,85 | 723 | 5,18 | 1.010 | 4,87 | 1.733 | 5,00 |
| Q2_1_other_rate | 124 | 3,80 | 242 | 2,90 | 366 | 3,20 | 6 | 4,83 | 56 | 3,04 | 62 | 3,21 | 18 | 4,28 | 297 | 2,32 | 315 | 2,43 | 148 | 3,90 | 595 | 2,62 | 743 | 2,88 |
| Q2_1_startup_training_rate | 661 | 4,77 | 536 | 4,67 | 1.197 | 4,72 | 132 | 4,34 | 488 | 4,07 | 620 | 4,13 | 137 | 4,84 | 583 | 4,37 | 720 | 4,46 | 930 | 4,72 | 1.607 | 4,38 | 2.537 | 4,50 |
| n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | 19 | 23,5% | 62 | 76,5% | 81 | 100,0% | 1 | 7,1% | 13 | 92,9% | 14 | 100,0% | 1 | 0,8% | 119 | 99,2% | 120 | 100,0% | 21 | 9,8% | 194 | 90,2% | 215 | 100,0% |
| 2 | 4 | 50,0% | 4 | 50,0% | 8 | 100,0% | – | – | 1 | 100,0% | 1 | 100,0% | – | – | – | – | – | – | 4 | 44,4% | 5 | 55,6% | 9 | 100,0% |
| 3 | 29 | 18,6% | 127 | 81,4% | 156 | 100,0% | – | – | 28 | 100,0% | 28 | 100,0% | 6 | 3,6% | 163 | 96,4% | 169 | 100,0% | 35 | 9,9% | 318 | 90,1% | 353 | 100,0% |
| 4 | 28 | 70,0% | 12 | 30,0% | 40 | 100,0% | 1 | 16,7% | 5 | 83,3% | 6 | 100,0% | 2 | 40,0% | 3 | 60,0% | 5 | 100,0% | 31 | 60,8% | 20 | 39,2% | 51 | 100,0% |
| 5 | 19 | 50,0% | 19 | 50,0% | 38 | 100,0% | – | – | 3 | 100,0% | 3 | 100,0% | 4 | 50,0% | 4 | 50,0% | 8 | 100,0% | 23 | 46,9% | 26 | 53,1% | 49 | 100,0% |
| 6 | 25 | 58,1% | 18 | 41,9% | 43 | 100,0% | 4 | 40,0% | 6 | 60,0% | 10 | 100,0% | 5 | 38,5% | 8 | 61,5% | 13 | 100,0% | 34 | 51,5% | 32 | 48,5% | 66 | 100,0% |
| n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | 59 | 61,5% | 37 | 38,5% | 96 | 100,0% | 12 | 16,7% | 60 | 83,3% | 72 | 100,0% | 5 | 21,7% | 18 | 78,3% | 23 | 100,0% | 76 | 39,8% | 115 | 60,2% | 191 | 100,0% |
| 2 | – | – | 4 | 100,0% | 4 | 100,0% | 3 | 27,3% | 8 | 72,7% | 11 | 100,0% | 2 | 40,0% | 3 | 60,0% | 5 | 100,0% | 5 | 25,0% | 15 | 75,0% | 20 | 100,0% |
| 3 | 26 | 44,1% | 33 | 55,9% | 59 | 100,0% | 17 | 19,1% | 72 | 80,9% | 89 | 100,0% | 17 | 18,1% | 77 | 81,9% | 94 | 100,0% | 60 | 24,8% | 182 | 75,2% | 242 | 100,0% |
| 4 | 112 | 46,9% | 127 | 53,1% | 239 | 100,0% | 27 | 15,4% | 148 | 84,6% | 175 | 100,0% | 23 | 8,7% | 240 | 91,3% | 263 | 100,0% | 162 | 23,9% | 515 | 76,1% | 677 | 100,0% |
| 5 | 216 | 57,3% | 161 | 42,7% | 377 | 100,0% | 42 | 30,0% | 98 | 70,0% | 140 | 100,0% | 29 | 17,3% | 139 | 82,7% | 168 | 100,0% | 287 | 41,9% | 398 | 58,1% | 685 | 100,0% |
| 6 | 248 | 58,8% | 174 | 41,2% | 422 | 100,0% | 31 | 23,3% | 102 | 76,7% | 133 | 100,0% | 61 | 36,5% | 106 | 63,5% | 167 | 100,0% | 340 | 47,1% | 382 | 52,9% | 722 | 100,0% |
| n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | 3 | 33,3% | 6 | 66,7% | 9 | 100,0% | 4 | 50,0% | 4 | 50,0% | 8 | 100,0% | 3 | 100,0% | – | – | 3 | 100,0% | 10 | 50,0% | 10 | 50,0% | 20 | 100,0% |
| 2 | 9 | 60,0% | 6 | 40,0% | 15 | 100,0% | – | – | 7 | 100,0% | 7 | 100,0% | 3 | 50,0% | 3 | 50,0% | 6 | 100,0% | 12 | 42,9% | 16 | 57,1% | 28 | 100,0% |
| 3 | 33 | 57,9% | 24 | 42,1% | 57 | 100,0% | 5 | 13,5% | 32 | 86,5% | 37 | 100,0% | 4 | 14,3% | 24 | 85,7% | 28 | 100,0% | 42 | 34,4% | 80 | 65,6% | 122 | 100,0% |
| 4 | 88 | 46,1% | 103 | 53,9% | 191 | 100,0% | 11 | 21,2% | 41 | 78,8% | 52 | 100,0% | 2 | 2,0% | 97 | 98,0% | 99 | 100,0% | 101 | 29,5% | 241 | 70,5% | 342 | 100,0% |
| 5 | 131 | 48,3% | 140 | 51,7% | 271 | 100,0% | 13 | 17,6% | 61 | 82,4% | 74 | 100,0% | 20 | 15,9% | 106 | 84,1% | 126 | 100,0% | 164 | 34,8% | 307 | 65,2% | 471 | 100,0% |
| 6 | 323 | 62,2% | 196 | 37,8% | 519 | 100,0% | 27 | 25,7% | 78 | 74,3% | 105 | 100,0% | 44 | 34,9% | 82 | 65,1% | 126 | 100,0% | 394 | 52,5% | 356 | 47,5% | 750 | 100,0% |
| n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | – | – | 4 | 100,0% | 4 | 100,0% | 6 | 30,0% | 14 | 70,0% | 20 | 100,0% | 4 | 40,0% | 6 | 60,0% | 10 | 100,0% | 10 | 29,4% | 24 | 70,6% | 34 | 100,0% |
| 2 | 9 | 81,8% | 2 | 18,2% | 11 | 100,0% | 2 | 8,3% | 22 | 91,7% | 24 | 100,0% | 5 | 15,2% | 28 | 84,8% | 33 | 100,0% | 16 | 23,5% | 52 | 76,5% | 68 | 100,0% |
| 3 | 15 | 48,4% | 16 | 51,6% | 31 | 100,0% | 19 | 20,2% | 75 | 79,8% | 94 | 100,0% | 24 | 24,5% | 74 | 75,5% | 98 | 100,0% | 58 | 26,0% | 165 | 74,0% | 223 | 100,0% |
| 4 | 47 | 65,3% | 25 | 34,7% | 72 | 100,0% | 21 | 17,1% | 102 | 82,9% | 123 | 100,0% | 29 | 20,7% | 111 | 79,3% | 140 | 100,0% | 97 | 29,0% | 238 | 71,0% | 335 | 100,0% |
| 5 | 73 | 62,4% | 44 | 37,6% | 117 | 100,0% | 27 | 23,5% | 88 | 76,5% | 115 | 100,0% | 15 | 22,4% | 52 | 77,6% | 67 | 100,0% | 115 | 38,5% | 184 | 61,5% | 299 | 100,0% |
| 6 | 111 | 63,4% | 64 | 36,6% | 175 | 100,0% | 25 | 24,3% | 78 | 75,7% | 103 | 100,0% | 33 | 38,8% | 52 | 61,2% | 85 | 100,0% | 169 | 46,6% | 194 | 53,4% | 363 | 100,0% |
| n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | 61 | 33,5% | 121 | 66,5% | 182 | 100,0% | 13 | 18,6% | 57 | 81,4% | 70 | 100,0% | 20 | 11,6% | 153 | 88,4% | 173 | 100,0% | 94 | 22,1% | 331 | 77,9% | 425 | 100,0% |
| 2 | 6 | 60,0% | 4 | 40,0% | 10 | 100,0% | 1 | 20,0% | 4 | 80,0% | 5 | 100,0% | – | – | 1 | 100,0% | 1 | 100,0% | 7 | 43,8% | 9 | 56,2% | 16 | 100,0% |
| 3 | 37 | 21,8% | 133 | 78,2% | 170 | 100,0% | 4 | 9,5% | 38 | 90,5% | 42 | 100,0% | 5 | 3,0% | 161 | 97,0% | 166 | 100,0% | 46 | 12,2% | 332 | 87,8% | 378 | 100,0% |
| 4 | 64 | 61,5% | 40 | 38,5% | 104 | 100,0% | 5 | 19,2% | 21 | 80,8% | 26 | 100,0% | 10 | 38,5% | 16 | 61,5% | 26 | 100,0% | 79 | 50,6% | 77 | 49,4% | 156 | 100,0% |
| 5 | 91 | 58,7% | 64 | 41,3% | 155 | 100,0% | 13 | 28,3% | 33 | 71,7% | 46 | 100,0% | 14 | 56,0% | 11 | 44,0% | 25 | 100,0% | 118 | 52,2% | 108 | 47,8% | 226 | 100,0% |
| 6 | 87 | 59,6% | 59 | 40,4% | 146 | 100,0% | 18 | 46,2% | 21 | 53,8% | 39 | 100,0% | 28 | 63,6% | 16 | 36,4% | 44 | 100,0% | 133 | 58,1% | 96 | 41,9% | 229 | 100,0% |
| n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 210 | 49,8% | 212 | 50,2% | 422 | 100,0% | 53 | 27,2% | 142 | 72,8% | 195 | 100,0% | 46 | 22,3% | 160 | 77,7% | 206 | 100,0% | 309 | 37,5% | 514 | 62,5% | 823 | 100,0% |
| 1 | 539 | 54,6% | 449 | 45,4% | 988 | 100,0% | 114 | 20,3% | 447 | 79,7% | 561 | 100,0% | 122 | 18,8% | 526 | 81,2% | 648 | 100,0% | 775 | 35,3% | 1422 | 64,7% | 2197 | 100,0% |
| n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| No | 12 | 41,4% | 17 | 58,6% | 29 | 100,0% | 21 | 17,8% | 97 | 82,2% | 118 | 100,0% | 26 | 23,4% | 85 | 76,6% | 111 | 100,0% | 59 | 22,9% | 199 | 77,1% | 258 | 100,0% |
| Uncertain | 4 | 50,0% | 4 | 50,0% | 8 | 100,0% | 2 | 25,0% | 6 | 75,0% | 8 | 100,0% | 2 | 66,7% | 1 | 33,3% | 3 | 100,0% | 8 | 42,1% | 11 | 57,9% | 19 | 100,0% |
| Yes | 523 | 55,0% | 428 | 45,0% | 951 | 100,0% | 91 | 20,9% | 344 | 79,1% | 435 | 100,0% | 94 | 17,6% | 440 | 82,4% | 534 | 100,0% | 708 | 36,9% | 1212 | 63,1% | 1920 | 100,0% |
| n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Q2_1_startup_training | 503 | 55,2% | 408 | 44,8% | 911 | 100,0% | 89 | 21,3% | 328 | 78,7% | 417 | 100,0% | 87 | 16,9% | 429 | 83,1% | 516 | 100,0% | 679 | 36,8% | 1165 | 63,2% | 1844 | 100,0% |
| Q2_1_kit | 462 | 55,1% | 377 | 44,9% | 839 | 100,0% | 44 | 22,0% | 156 | 78,0% | 200 | 100,0% | 59 | 18,6% | 259 | 81,4% | 318 | 100,0% | 565 | 41,6% | 792 | 58,4% | 1357 | 100,0% |
| Q2_1_financial | 221 | 63,9% | 125 | 36,1% | 346 | 100,0% | 62 | 20,5% | 240 | 79,5% | 302 | 100,0% | 63 | 25,8% | 181 | 74,2% | 244 | 100,0% | 346 | 38,8% | 546 | 61,2% | 892 | 100,0% |
| Q2_1_coaching_startup | 220 | 44,8% | 271 | 55,2% | 491 | 100,0% | 37 | 23,9% | 118 | 76,1% | 155 | 100,0% | 57 | 17,5% | 268 | 82,5% | 325 | 100,0% | 314 | 32,3% | 657 | 67,7% | 971 | 100,0% |
| Q2_1_other | 118 | 65,9% | 61 | 34,1% | 179 | 100,0% | 64 | 23,0% | 214 | 77,0% | 278 | 100,0% | 27 | 22,0% | 96 | 78,0% | 123 | 100,0% | 209 | 36,0% | 371 | 64,0% | 580 | 100,0% |
| n | Mean | n | Mean | n | Mean | n | Mean | n | Mean | n | Mean | n | Mean | n | Mean | n | Mean | n | Mean | n | Mean | n | Mean | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Q2_1_coaching_startup_rate | 220 | 4,34 | 271 | 3,44 | 491 | 3,84 | 37 | 4,00 | 118 | 3,26 | 155 | 3,44 | 57 | 4,14 | 268 | 2,50 | 325 | 2,79 | 314 | 4,26 | 657 | 3,03 | 971 | 3,43 |
| Q2_1_financial_rate | 221 | 5,06 | 125 | 4,94 | 346 | 5,02 | 62 | 4,81 | 240 | 4,51 | 302 | 4,57 | 63 | 4,79 | 181 | 4,17 | 244 | 4,33 | 346 | 4,97 | 546 | 4,49 | 892 | 4,68 |
| Q2_1_kit_rate | 462 | 5,32 | 377 | 5,15 | 839 | 5,24 | 44 | 5,07 | 156 | 4,99 | 200 | 5,00 | 59 | 5,34 | 259 | 4,91 | 318 | 4,99 | 565 | 5,30 | 792 | 5,04 | 1.357 | 5,15 |
| Q2_1_other_rate | 73 | 4,27 | 169 | 2,92 | 242 | 3,33 | 4 | 5,50 | 33 | 3,30 | 37 | 3,54 | 13 | 4,46 | 230 | 2,36 | 243 | 2,47 | 90 | 4,36 | 432 | 2,65 | 522 | 2,94 |
| Q2_1_startup_training_rate | 503 | 4,83 | 408 | 4,83 | 911 | 4,83 | 89 | 4,74 | 328 | 4,32 | 417 | 4,41 | 87 | 5,16 | 429 | 4,53 | 516 | 4,64 | 679 | 4,86 | 1.165 | 4,58 | 1.844 | 4,68 |
| n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | 3 | 8,3% | 33 | 91,7% | 36 | 100,0% | – | – | 5 | 100,0% | 5 | 100,0% | 1 | 1,2% | 84 | 98,8% | 85 | 100,0% | 4 | 3,2% | 122 | 96,8% | 126 | 100,0% |
| 2 | 2 | 40,0% | 3 | 60,0% | 5 | 100,0% | – | – | 1 | 100,0% | 1 | 100,0% | – | – | – | – | – | – | 2 | 33,3% | 4 | 66,7% | 6 | 100,0% |
| 3 | 14 | 11,9% | 104 | 88,1% | 118 | 100,0% | – | – | 16 | 100,0% | 16 | 100,0% | 3 | 2,1% | 137 | 97,9% | 140 | 100,0% | 17 | 6,2% | 257 | 93,8% | 274 | 100,0% |
| 4 | 24 | 70,6% | 10 | 29,4% | 34 | 100,0% | 1 | 16,7% | 5 | 83,3% | 6 | 100,0% | 2 | 50,0% | 2 | 50,0% | 4 | 100,0% | 27 | 61,4% | 17 | 38,6% | 44 | 100,0% |
| 5 | 13 | 52,0% | 12 | 48,0% | 25 | 100,0% | – | – | 2 | 100,0% | 2 | 100,0% | 2 | 50,0% | 2 | 50,0% | 4 | 100,0% | 15 | 48,4% | 16 | 51,6% | 31 | 100,0% |
| 6 | 17 | 70,8% | 7 | 29,2% | 24 | 100,0% | 3 | 42,9% | 4 | 57,1% | 7 | 100,0% | 5 | 50,0% | 5 | 50,0% | 10 | 100,0% | 25 | 61,0% | 16 | 39,0% | 41 | 100,0% |
| n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | 44 | 64,7% | 24 | 35,3% | 68 | 100,0% | 4 | 10,0% | 36 | 90,0% | 40 | 100,0% | 2 | 11,8% | 15 | 88,2% | 17 | 100,0% | 50 | 40,0% | 75 | 60,0% | 125 | 100,0% |
| 2 | – | – | 1 | 100,0% | 1 | 100,0% | – | – | 3 | 100,0% | 3 | 100,0% | 2 | 50,0% | 2 | 50,0% | 4 | 100,0% | 2 | 25,0% | 6 | 75,0% | 8 | 100,0% |
| 3 | 14 | 53,8% | 12 | 46,2% | 26 | 100,0% | 8 | 19,0% | 34 | 81,0% | 42 | 100,0% | 6 | 16,2% | 31 | 83,8% | 37 | 100,0% | 28 | 26,7% | 77 | 73,3% | 105 | 100,0% |
| 4 | 78 | 46,7% | 89 | 53,3% | 167 | 100,0% | 17 | 16,8% | 84 | 83,2% | 101 | 100,0% | 10 | 5,6% | 169 | 94,4% | 179 | 100,0% | 105 | 23,5% | 342 | 76,5% | 447 | 100,0% |
| 5 | 173 | 55,3% | 140 | 44,7% | 313 | 100,0% | 34 | 27,9% | 88 | 72,1% | 122 | 100,0% | 17 | 12,8% | 116 | 87,2% | 133 | 100,0% | 224 | 39,4% | 344 | 60,6% | 568 | 100,0% |
| 6 | 194 | 57,7% | 142 | 42,3% | 336 | 100,0% | 26 | 23,9% | 83 | 76,1% | 109 | 100,0% | 50 | 34,2% | 96 | 65,8% | 146 | 100,0% | 270 | 45,7% | 321 | 54,3% | 591 | 100,0% |
| n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | 2 | 66,7% | 1 | 33,3% | 3 | 100,0% | – | – | 2 | 100,0% | 2 | 100,0% | 1 | 100,0% | – | – | 1 | 100,0% | 3 | 50,0% | 3 | 50,0% | 6 | 100,0% |
| 2 | 6 | 66,7% | 3 | 33,3% | 9 | 100,0% | – | – | 1 | 100,0% | 1 | 100,0% | 3 | 75,0% | 1 | 25,0% | 4 | 100,0% | 9 | 64,3% | 5 | 35,7% | 14 | 100,0% |
| 3 | 15 | 71,4% | 6 | 28,6% | 21 | 100,0% | 5 | 26,3% | 14 | 73,7% | 19 | 100,0% | 2 | 18,2% | 9 | 81,8% | 11 | 100,0% | 22 | 43,1% | 29 | 56,9% | 51 | 100,0% |
| 4 | 66 | 44,6% | 82 | 55,4% | 148 | 100,0% | 8 | 25,0% | 24 | 75,0% | 32 | 100,0% | 1 | 1,2% | 79 | 98,8% | 80 | 100,0% | 75 | 28,8% | 185 | 71,2% | 260 | 100,0% |
| 5 | 104 | 46,0% | 122 | 54,0% | 226 | 100,0% | 10 | 15,6% | 54 | 84,4% | 64 | 100,0% | 14 | 13,1% | 93 | 86,9% | 107 | 100,0% | 128 | 32,2% | 269 | 67,8% | 397 | 100,0% |
| 6 | 269 | 62,3% | 163 | 37,7% | 432 | 100,0% | 21 | 25,6% | 61 | 74,4% | 82 | 100,0% | 38 | 33,0% | 77 | 67,0% | 115 | 100,0% | 328 | 52,1% | 301 | 47,9% | 629 | 100,0% |
| n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | – | – | 2 | 100,0% | 2 | 100,0% | 1 | 33,3% | 2 | 66,7% | 3 | 100,0% | – | – | 1 | 100,0% | 1 | 100,0% | 1 | 16,7% | 5 | 83,3% | 6 | 100,0% |
| 2 | 6 | 85,7% | 1 | 14,3% | 7 | 100,0% | 1 | 5,9% | 16 | 94,1% | 17 | 100,0% | 2 | 10,5% | 17 | 89,5% | 19 | 100,0% | 9 | 20,9% | 34 | 79,1% | 43 | 100,0% |
| 3 | 10 | 43,5% | 13 | 56,5% | 23 | 100,0% | 7 | 15,2% | 39 | 84,8% | 46 | 100,0% | 10 | 21,3% | 37 | 78,7% | 47 | 100,0% | 27 | 23,3% | 89 | 76,7% | 116 | 100,0% |
| 4 | 44 | 65,7% | 23 | 34,3% | 67 | 100,0% | 11 | 18,3% | 49 | 81,7% | 60 | 100,0% | 13 | 18,3% | 58 | 81,7% | 71 | 100,0% | 68 | 34,3% | 130 | 65,7% | 198 | 100,0% |
| 5 | 66 | 66,7% | 33 | 33,3% | 99 | 100,0% | 22 | 24,2% | 69 | 75,8% | 91 | 100,0% | 12 | 27,3% | 32 | 72,7% | 44 | 100,0% | 100 | 42,7% | 134 | 57,3% | 234 | 100,0% |
| 6 | 95 | 64,2% | 53 | 35,8% | 148 | 100,0% | 20 | 23,5% | 65 | 76,5% | 85 | 100,0% | 26 | 41,9% | 36 | 58,1% | 62 | 100,0% | 141 | 47,8% | 154 | 52,2% | 295 | 100,0% |
| n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | 27 | 34,2% | 52 | 65,8% | 79 | 100,0% | 9 | 18,4% | 40 | 81,6% | 49 | 100,0% | 14 | 12,3% | 100 | 87,7% | 114 | 100,0% | 50 | 20,7% | 192 | 79,3% | 242 | 100,0% |
| 2 | 3 | 100,0% | – | – | 3 | 100,0% | – | – | 2 | 100,0% | 2 | 100,0% | – | – | 1 | 100,0% | 1 | 100,0% | 3 | 50,0% | 3 | 50,0% | 6 | 100,0% |
| 3 | 19 | 14,8% | 109 | 85,2% | 128 | 100,0% | 3 | 13,0% | 20 | 87,0% | 23 | 100,0% | 3 | 2,2% | 133 | 97,8% | 136 | 100,0% | 25 | 8,7% | 262 | 91,3% | 287 | 100,0% |
| 4 | 49 | 62,0% | 30 | 38,0% | 79 | 100,0% | 5 | 26,3% | 14 | 73,7% | 19 | 100,0% | 8 | 38,1% | 13 | 61,9% | 21 | 100,0% | 62 | 52,1% | 57 | 47,9% | 119 | 100,0% |
| 5 | 64 | 58,2% | 46 | 41,8% | 110 | 100,0% | 10 | 27,0% | 27 | 73,0% | 37 | 100,0% | 11 | 55,0% | 9 | 45,0% | 20 | 100,0% | 85 | 50,9% | 82 | 49,1% | 167 | 100,0% |
| 6 | 58 | 63,0% | 34 | 37,0% | 92 | 100,0% | 10 | 40,0% | 15 | 60,0% | 25 | 100,0% | 21 | 63,6% | 12 | 36,4% | 33 | 100,0% | 89 | 59,3% | 61 | 40,7% | 150 | 100,0% |
| n | Mean | n | Mean | n | Mean | n | Mean | n | Mean | n | Mean | n | Mean | n | Mean | n | Mean | n | Mean | n | Mean | n | Mean | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Services received | 523 | 2,91 | 428 | 2,9 | 951 | 2,91 | 91 | 3,25 | 344 | 3,07 | 435 | 3,11 | 94 | 3,12 | 440 | 2,8 | 534 | 2,86 | 708 | 2,98 | 1.212 | 2,91 | 1.920 | 2,94 |
| n | Mean | n | Mean | n | Mean | n | Mean | n | Mean | n | Mean | n | Mean | n | Mean | n | Mean | n | Mean | n | Mean | n | Mean | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Q2_1_coaching_startup_rate | 220 | 4,34 | 271 | 3,44 | 491 | 3,84 | 37 | 4,00 | 118 | 3,26 | 155 | 3,44 | 57 | 4,14 | 268 | 2,50 | 325 | 2,79 | 314 | 4,26 | 657 | 3,03 | 971 | 3,43 |
| Q2_1_financial_rate | 221 | 5,06 | 125 | 4,94 | 346 | 5,02 | 62 | 4,81 | 240 | 4,51 | 302 | 4,57 | 63 | 4,79 | 181 | 4,17 | 244 | 4,33 | 346 | 4,97 | 546 | 4,49 | 892 | 4,68 |
| Q2_1_kit_rate | 462 | 5,32 | 377 | 5,15 | 839 | 5,24 | 44 | 5,07 | 156 | 4,99 | 200 | 5,00 | 59 | 5,34 | 259 | 4,91 | 318 | 4,99 | 565 | 5,30 | 792 | 5,04 | 1.357 | 5,15 |
| Q2_1_other_rate | 73 | 4,27 | 169 | 2,92 | 242 | 3,33 | 4 | 5,50 | 33 | 3,30 | 37 | 3,54 | 13 | 4,46 | 230 | 2,36 | 243 | 2,47 | 90 | 4,36 | 432 | 2,65 | 522 | 2,94 |
| Q2_1_startup_training_rate | 503 | 4,83 | 408 | 4,83 | 911 | 4,83 | 89 | 4,74 | 328 | 4,32 | 417 | 4,41 | 87 | 5,16 | 429 | 4,53 | 516 | 4,64 | 679 | 4,86 | 1.165 | 4,58 | 1.844 | 4,68 |
| n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | 3 | 8,3% | 33 | 91,7% | 36 | 100,0% | – | – | 5 | 100,0% | 5 | 100,0% | 1 | 1,2% | 84 | 98,8% | 85 | 100,0% | 4 | 3,2% | 122 | 96,8% | 126 | 100,0% |
| 2 | 2 | 40,0% | 3 | 60,0% | 5 | 100,0% | – | – | 1 | 100,0% | 1 | 100,0% | – | – | – | – | – | – | 2 | 33,3% | 4 | 66,7% | 6 | 100,0% |
| 3 | 14 | 11,9% | 104 | 88,1% | 118 | 100,0% | – | – | 16 | 100,0% | 16 | 100,0% | 3 | 2,1% | 137 | 97,9% | 140 | 100,0% | 17 | 6,2% | 257 | 93,8% | 274 | 100,0% |
| 4 | 24 | 70,6% | 10 | 29,4% | 34 | 100,0% | 1 | 16,7% | 5 | 83,3% | 6 | 100,0% | 2 | 50,0% | 2 | 50,0% | 4 | 100,0% | 27 | 61,4% | 17 | 38,6% | 44 | 100,0% |
| 5 | 13 | 52,0% | 12 | 48,0% | 25 | 100,0% | – | – | 2 | 100,0% | 2 | 100,0% | 2 | 50,0% | 2 | 50,0% | 4 | 100,0% | 15 | 48,4% | 16 | 51,6% | 31 | 100,0% |
| 6 | 17 | 70,8% | 7 | 29,2% | 24 | 100,0% | 3 | 42,9% | 4 | 57,1% | 7 | 100,0% | 5 | 50,0% | 5 | 50,0% | 10 | 100,0% | 25 | 61,0% | 16 | 39,0% | 41 | 100,0% |
| n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | 44 | 64,7% | 24 | 35,3% | 68 | 100,0% | 4 | 10,0% | 36 | 90,0% | 40 | 100,0% | 2 | 11,8% | 15 | 88,2% | 17 | 100,0% | 50 | 40,0% | 75 | 60,0% | 125 | 100,0% |
| 2 | – | – | 1 | 100,0% | 1 | 100,0% | – | – | 3 | 100,0% | 3 | 100,0% | 2 | 50,0% | 2 | 50,0% | 4 | 100,0% | 2 | 25,0% | 6 | 75,0% | 8 | 100,0% |
| 3 | 14 | 53,8% | 12 | 46,2% | 26 | 100,0% | 8 | 19,0% | 34 | 81,0% | 42 | 100,0% | 6 | 16,2% | 31 | 83,8% | 37 | 100,0% | 28 | 26,7% | 77 | 73,3% | 105 | 100,0% |
| 4 | 78 | 46,7% | 89 | 53,3% | 167 | 100,0% | 17 | 16,8% | 84 | 83,2% | 101 | 100,0% | 10 | 5,6% | 169 | 94,4% | 179 | 100,0% | 105 | 23,5% | 342 | 76,5% | 447 | 100,0% |
| 5 | 173 | 55,3% | 140 | 44,7% | 313 | 100,0% | 34 | 27,9% | 88 | 72,1% | 122 | 100,0% | 17 | 12,8% | 116 | 87,2% | 133 | 100,0% | 224 | 39,4% | 344 | 60,6% | 568 | 100,0% |
| 6 | 194 | 57,7% | 142 | 42,3% | 336 | 100,0% | 26 | 23,9% | 83 | 76,1% | 109 | 100,0% | 50 | 34,2% | 96 | 65,8% | 146 | 100,0% | 270 | 45,7% | 321 | 54,3% | 591 | 100,0% |
| n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | 2 | 66,7% | 1 | 33,3% | 3 | 100,0% | – | – | 2 | 100,0% | 2 | 100,0% | 1 | 100,0% | – | – | 1 | 100,0% | 3 | 50,0% | 3 | 50,0% | 6 | 100,0% |
| 2 | 6 | 66,7% | 3 | 33,3% | 9 | 100,0% | – | – | 1 | 100,0% | 1 | 100,0% | 3 | 75,0% | 1 | 25,0% | 4 | 100,0% | 9 | 64,3% | 5 | 35,7% | 14 | 100,0% |
| 3 | 15 | 71,4% | 6 | 28,6% | 21 | 100,0% | 5 | 26,3% | 14 | 73,7% | 19 | 100,0% | 2 | 18,2% | 9 | 81,8% | 11 | 100,0% | 22 | 43,1% | 29 | 56,9% | 51 | 100,0% |
| 4 | 66 | 44,6% | 82 | 55,4% | 148 | 100,0% | 8 | 25,0% | 24 | 75,0% | 32 | 100,0% | 1 | 1,2% | 79 | 98,8% | 80 | 100,0% | 75 | 28,8% | 185 | 71,2% | 260 | 100,0% |
| 5 | 104 | 46,0% | 122 | 54,0% | 226 | 100,0% | 10 | 15,6% | 54 | 84,4% | 64 | 100,0% | 14 | 13,1% | 93 | 86,9% | 107 | 100,0% | 128 | 32,2% | 269 | 67,8% | 397 | 100,0% |
| 6 | 269 | 62,3% | 163 | 37,7% | 432 | 100,0% | 21 | 25,6% | 61 | 74,4% | 82 | 100,0% | 38 | 33,0% | 77 | 67,0% | 115 | 100,0% | 328 | 52,1% | 301 | 47,9% | 629 | 100,0% |
| n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | – | – | 2 | 100,0% | 2 | 100,0% | 1 | 33,3% | 2 | 66,7% | 3 | 100,0% | – | – | 1 | 100,0% | 1 | 100,0% | 1 | 16,7% | 5 | 83,3% | 6 | 100,0% |
| 2 | 6 | 85,7% | 1 | 14,3% | 7 | 100,0% | 1 | 5,9% | 16 | 94,1% | 17 | 100,0% | 2 | 10,5% | 17 | 89,5% | 19 | 100,0% | 9 | 20,9% | 34 | 79,1% | 43 | 100,0% |
| 3 | 10 | 43,5% | 13 | 56,5% | 23 | 100,0% | 7 | 15,2% | 39 | 84,8% | 46 | 100,0% | 10 | 21,3% | 37 | 78,7% | 47 | 100,0% | 27 | 23,3% | 89 | 76,7% | 116 | 100,0% |
| 4 | 44 | 65,7% | 23 | 34,3% | 67 | 100,0% | 11 | 18,3% | 49 | 81,7% | 60 | 100,0% | 13 | 18,3% | 58 | 81,7% | 71 | 100,0% | 68 | 34,3% | 130 | 65,7% | 198 | 100,0% |
| 5 | 66 | 66,7% | 33 | 33,3% | 99 | 100,0% | 22 | 24,2% | 69 | 75,8% | 91 | 100,0% | 12 | 27,3% | 32 | 72,7% | 44 | 100,0% | 100 | 42,7% | 134 | 57,3% | 234 | 100,0% |
| 6 | 95 | 64,2% | 53 | 35,8% | 148 | 100,0% | 20 | 23,5% | 65 | 76,5% | 85 | 100,0% | 26 | 41,9% | 36 | 58,1% | 62 | 100,0% | 141 | 47,8% | 154 | 52,2% | 295 | 100,0% |
| n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | 27 | 34,2% | 52 | 65,8% | 79 | 100,0% | 9 | 18,4% | 40 | 81,6% | 49 | 100,0% | 14 | 12,3% | 100 | 87,7% | 114 | 100,0% | 50 | 20,7% | 192 | 79,3% | 242 | 100,0% |
| 2 | 3 | 100,0% | – | – | 3 | 100,0% | – | – | 2 | 100,0% | 2 | 100,0% | – | – | 1 | 100,0% | 1 | 100,0% | 3 | 50,0% | 3 | 50,0% | 6 | 100,0% |
| 3 | 19 | 14,8% | 109 | 85,2% | 128 | 100,0% | 3 | 13,0% | 20 | 87,0% | 23 | 100,0% | 3 | 2,2% | 133 | 97,8% | 136 | 100,0% | 25 | 8,7% | 262 | 91,3% | 287 | 100,0% |
| 4 | 49 | 62,0% | 30 | 38,0% | 79 | 100,0% | 5 | 26,3% | 14 | 73,7% | 19 | 100,0% | 8 | 38,1% | 13 | 61,9% | 21 | 100,0% | 62 | 52,1% | 57 | 47,9% | 119 | 100,0% |
| 5 | 64 | 58,2% | 46 | 41,8% | 110 | 100,0% | 10 | 27,0% | 27 | 73,0% | 37 | 100,0% | 11 | 55,0% | 9 | 45,0% | 20 | 100,0% | 85 | 50,9% | 82 | 49,1% | 167 | 100,0% |
| 6 | 58 | 63,0% | 34 | 37,0% | 92 | 100,0% | 10 | 40,0% | 15 | 60,0% | 25 | 100,0% | 21 | 63,6% | 12 | 36,4% | 33 | 100,0% | 89 | 59,3% | 61 | 40,7% | 150 | 100,0% |
| n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Less than 3 months | 18 | 46,2% | 21 | 53,8% | 39 | 100,0% | 4 | 18,2% | 18 | 81,8% | 22 | 100,0% | 1 | 5,6% | 17 | 94,4% | 18 | 100,0% | 23 | 29,1% | 56 | 70,9% | 79 | 100,0% |
| Between 3 and 6 months | 50 | 37,9% | 82 | 62,1% | 132 | 100,0% | 11 | 20,8% | 42 | 79,2% | 53 | 100,0% | 8 | 5,9% | 128 | 94,1% | 136 | 100,0% | 69 | 21,5% | 252 | 78,5% | 321 | 100,0% |
| More than 6 months | 455 | 58,3% | 325 | 41,7% | 780 | 100,0% | 76 | 21,1% | 284 | 78,9% | 360 | 100,0% | 85 | 22,4% | 295 | 77,6% | 380 | 100,0% | 616 | 40,5% | 904 | 59,5% | 1520 | 100,0% |
| n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Selfemployed without employees | 409 | 60,9% | 263 | 39,1% | 672 | 100,0% | 58 | 21,6% | 210 | 78,4% | 268 | 100,0% | 66 | 20,0% | 264 | 80,0% | 330 | 100,0% | 533 | 42,0% | 737 | 58,0% | 1270 | 100,0% |
| 1 - 9 people | 112 | 41,2% | 160 | 58,8% | 272 | 100,0% | 33 | 20,0% | 132 | 80,0% | 165 | 100,0% | 26 | 13,1% | 172 | 86,9% | 198 | 100,0% | 171 | 26,9% | 464 | 73,1% | 635 | 100,0% |
| 10 - 19 people | – | – | 3 | 100,0% | 3 | 100,0% | – | – | 2 | 100,0% | 2 | 100,0% | 2 | 66,7% | 1 | 33,3% | 3 | 100,0% | 2 | 25,0% | 6 | 75,0% | 8 | 100,0% |
| 20 - 49 people | – | – | 2 | 100,0% | 2 | 100,0% | – | – | – | – | – | – | – | – | 3 | 100,0% | 3 | 100,0% | – | – | 5 | 100,0% | 5 | 100,0% |
| 50 people or more | 2 | 100,0% | – | – | 2 | 100,0% | – | – | – | – | – | – | – | – | – | – | – | – | 2 | 100,0% | – | – | 2 | 100,0% |
| n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| No | 225 | 60,3% | 148 | 39,7% | 373 | 100,0% | 32 | 19,5% | 132 | 80,5% | 164 | 100,0% | 46 | 32,9% | 94 | 67,1% | 140 | 100,0% | 303 | 44,8% | 374 | 55,2% | 677 | 100,0% |
| Uncertain | 30 | 50,8% | 29 | 49,2% | 59 | 100,0% | 9 | 36,0% | 16 | 64,0% | 25 | 100,0% | 4 | 40,0% | 6 | 60,0% | 10 | 100,0% | 43 | 45,7% | 51 | 54,3% | 94 | 100,0% |
| Yes | 268 | 51,6% | 251 | 48,4% | 519 | 100,0% | 50 | 20,3% | 196 | 79,7% | 246 | 100,0% | 44 | 11,5% | 340 | 88,5% | 384 | 100,0% | 362 | 31,5% | 787 | 68,5% | 1149 | 100,0% |
## [1] "Migration Status"
##
## Cell Contents
## |-------------------------|
## | Count |
## | Chi-square contribution |
## | Row Percent |
## | Column Percent |
## | Total Percent |
## |-------------------------|
##
## Total Observations in Table: 1920
##
## | data$Q2_7
## data$Migration | 0 | 1 | 2 | Row Total |
## ------------------------------|-----------|-----------|-----------|-----------|
## Local Population | 373 | 519 | 59 | 951 |
## | 4.233 | 4.413 | 3.324 | |
## | 39.222% | 54.574% | 6.204% | 49.531% |
## | 55.096% | 45.170% | 62.766% | |
## | 19.427% | 27.031% | 3.073% | |
## ------------------------------|-----------|-----------|-----------|-----------|
## Migrants from GER | 164 | 246 | 25 | 435 |
## | 0.735 | 0.788 | 0.644 | |
## | 37.701% | 56.552% | 5.747% | 22.656% |
## | 24.225% | 21.410% | 26.596% | |
## | 8.542% | 12.812% | 1.302% | |
## ------------------------------|-----------|-----------|-----------|-----------|
## Migrants from third countries | 140 | 384 | 10 | 534 |
## | 12.385 | 12.992 | 9.969 | |
## | 26.217% | 71.910% | 1.873% | 27.812% |
## | 20.679% | 33.420% | 10.638% | |
## | 7.292% | 20.000% | 0.521% | |
## ------------------------------|-----------|-----------|-----------|-----------|
## Column Total | 677 | 1149 | 94 | 1920 |
## | 35.260% | 59.844% | 4.896% | |
## ------------------------------|-----------|-----------|-----------|-----------|
##
##
## Statistics for All Table Factors
##
##
## Pearson's Chi-squared test
## ------------------------------------------------------------
## Chi^2 = 49.48189 d.f. = 4 p = 4.632007e-10
##
##
##
## Minimum expected frequency: 21.29688
##
## NULL
## [1] "Gender"
##
## Cell Contents
## |-------------------------|
## | Count |
## | Chi-square contribution |
## | Row Percent |
## | Column Percent |
## | Total Percent |
## |-------------------------|
##
## Total Observations in Table: 1920
##
## | data$Q2_7
## data$Gender | 0 | 1 | 2 | Row Total |
## -------------|-----------|-----------|-----------|-----------|
## Female | 303 | 362 | 43 | 708 |
## | 11.404 | 8.983 | 2.005 | |
## | 42.797% | 51.130% | 6.073% | 36.875% |
## | 44.756% | 31.506% | 45.745% | |
## | 15.781% | 18.854% | 2.240% | |
## -------------|-----------|-----------|-----------|-----------|
## Male | 374 | 787 | 51 | 1212 |
## | 6.662 | 5.248 | 1.172 | |
## | 30.858% | 64.934% | 4.208% | 63.125% |
## | 55.244% | 68.494% | 54.255% | |
## | 19.479% | 40.990% | 2.656% | |
## -------------|-----------|-----------|-----------|-----------|
## Column Total | 677 | 1149 | 94 | 1920 |
## | 35.260% | 59.844% | 4.896% | |
## -------------|-----------|-----------|-----------|-----------|
##
##
## Statistics for All Table Factors
##
##
## Pearson's Chi-squared test
## ------------------------------------------------------------
## Chi^2 = 35.47317 d.f. = 2 p = 1.981974e-08
##
##
##
## Minimum expected frequency: 34.6625
##
## NULL
| n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | n | % | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Agriculture, forestry and fisheries | 19 | 26,4% | 53 | 73,6% | 72 | 100,0% | 14 | 26,4% | 39 | 73,6% | 53 | 100,0% | 5 | 15,6% | 27 | 84,4% | 32 | 100,0% | 38 | 24,2% | 119 | 75,8% | 157 | 100,0% |
| Construction | 2 | 11,1% | 16 | 88,9% | 18 | 100,0% | 1 | 2,9% | 33 | 97,1% | 34 | 100,0% | – | – | 11 | 100,0% | 11 | 100,0% | 3 | 4,8% | 60 | 95,2% | 63 | 100,0% |
| Education and Healthcare (public and private), Social Welfar | 3 | 37,5% | 5 | 62,5% | 8 | 100,0% | 1 | 50,0% | 1 | 50,0% | 2 | 100,0% | 1 | 33,3% | 2 | 66,7% | 3 | 100,0% | 5 | 38,5% | 8 | 61,5% | 13 | 100,0% |
| Manufacturing or extraction (i.e. mining) | 15 | 68,2% | 7 | 31,8% | 22 | 100,0% | – | – | 18 | 100,0% | 18 | 100,0% | 9 | 50,0% | 9 | 50,0% | 18 | 100,0% | 24 | 41,4% | 34 | 58,6% | 58 | 100,0% |
| Other | 212 | 71,4% | 85 | 28,6% | 297 | 100,0% | 34 | 32,7% | 70 | 67,3% | 104 | 100,0% | 13 | 28,3% | 33 | 71,7% | 46 | 100,0% | 259 | 57,9% | 188 | 42,1% | 447 | 100,0% |
| Public sector (including public utilities) | 3 | 60,0% | 2 | 40,0% | 5 | 100,0% | 1 | 6,2% | 15 | 93,8% | 16 | 100,0% | 1 | 11,1% | 8 | 88,9% | 9 | 100,0% | 5 | 16,7% | 25 | 83,3% | 30 | 100,0% |
| Sales (including vehicle repair) | 55 | 72,4% | 21 | 27,6% | 76 | 100,0% | 17 | 15,0% | 96 | 85,0% | 113 | 100,0% | 12 | 9,4% | 115 | 90,6% | 127 | 100,0% | 84 | 26,6% | 232 | 73,4% | 316 | 100,0% |
| Service sector (including privatized utilities) | 214 | 47,2% | 239 | 52,8% | 453 | 100,0% | 23 | 24,2% | 72 | 75,8% | 95 | 100,0% | 53 | 18,4% | 235 | 81,6% | 288 | 100,0% | 290 | 34,7% | 546 | 65,3% | 836 | 100,0% |
| Migration | Gender | Q2_3 | n |
|---|---|---|---|
| Local Population | Female | Financial constrains | 48 |
| Local Population | Female | Materials constrains | 8 |
| Local Population | Female | None | 5 |
| Local Population | Female | nema potrebe | 3 |
| Local Population | Female | not enough resources | 3 |
| Local Population | Female | nuk kam pasur mundesi | 2 |
| Local Population | Female | zaposlila sam se | 2 |
| Local Population | Female | لا لم يتلقى دعم إنشاء مشروع ولكنه تلقى دعم توضيف | 2 |
| Local Population | Female | Because of metrials and financials | 1 |
| Local Population | Female | Biznesi ishte aktiv,por pajisjet ishin nje ndihmese e madhe. | 1 |
| Local Population | Female | DO SHUME TE ARDHURA | 1 |
| Local Population | Female | Doesn’t have a business center yet. Works on and off from home. | 1 |
| Local Population | Female | Financial setbacks | 1 |
| Local Population | Female | I already had a business | 1 |
| Local Population | Female | I already had a functioning business before joining the trainings but then afterwards i decided to expand the business | 1 |
| Local Population | Female | I already had a running business | 1 |
| Local Population | Female | I already had an existing business before recieving the support | 1 |
| Local Population | Female | I already had my bussiness running | 1 |
| Local Population | Female | I already has an existing business that I wanted to expand | 1 |
| Local Population | Female | I am a teacher and that training was related to cv writing so I was helped to enhance my skills. | 1 |
| Local Population | Female | I am already running my school | 1 |
| Local Population | Female | I am perfecting my skills under someone | 1 |
| Local Population | Female | I am teaching already. | 1 |
| Local Population | Female | I am teaching. and those ideas which I learn from training apply in my employment. | 1 |
| Local Population | Female | I don’t have an oven to start. I use my friends own when I get an order | 1 |
| Local Population | Female | I don’t have enough resources. and what was given was not enough | 1 |
| Local Population | Female | I had started already | 1 |
| Local Population | Female | I need to polish up on the skill | 1 |
| Local Population | Female | I was already doing it before the training | 1 |
| Local Population | Female | I was already doing working before the training | 1 |
| Local Population | Female | I was already in one so I had to improve upon it with the skill I learnt and the it provided. | 1 |
| Local Population | Female | I was already in the business but received a boost | 1 |
| Local Population | Female | I was given only an oven without a cylinder and I haven’t been able to buy one yet. the oven cannot be used without a cylinder | 1 |
| Local Population | Female | Jos pohadjam obuku | 1 |
| Local Population | Female | Ka fituar laptop edhe me shume ka ofru sherbime si konsulente dhe gjate kesaj periudhe nuk ka pase projekte shume dhe per kete arsye nuk ka pase mundesi me themelu biznesin. | 1 |
| Local Population | Female | Ka qene ekzistent para se me i marre pajisjet, mirepo me ka ndihmu | 1 |
| Local Population | Female | MUNDESITE E PAKTA | 1 |
| Local Population | Female | Mungesa e financimit | 1 |
| Local Population | Female | NEMA potrebe zadovoljna sam sadasnjim poslom | 1 |
| Local Population | Female | NUK E KAM MENDUSAR | 1 |
| Local Population | Female | NUK KAM DASHUR,JAM E FOKUSUAR TEK PUNA | 1 |
| Local Population | Female | NUK KAM FILLUAR AKOMA | 1 |
| Local Population | Female | Nuk kam patur qellim themelimin e nje biznesi | 1 |
| Local Population | Female | She was already into the business | 1 |
| Local Population | Female | She was already into the sale of used clothes business | 1 |
| Local Population | Female | She was already into the sowing business but the support helped improve her business | 1 |
| Local Population | Female | She was already working, the startup helped enhance her fashion designing business | 1 |
| Local Population | Female | She was learning from the shop already | 1 |
| Local Population | Female | Still learning | 1 |
| Local Population | Female | Still on intership | 1 |
| Local Population | Female | Themelimi i biznesit kerkon kushte te shumta te cilat nuk i ploteson me vetem nje pajisje,por, me ka ndihmuar per nevoja personale. | 1 |
| Local Population | Female | Travelling to the UK to stay with her husband | 1 |
| Local Population | Female | Waiting to complete my shop | 1 |
| Local Population | Female | Working under someone. | 1 |
| Local Population | Female | already had a business | 1 |
| Local Population | Female | already had a running business | 1 |
| Local Population | Female | am emloyed | 1 |
| Local Population | Female | am learning sewing to add to the makeup | 1 |
| Local Population | Female | arsye shendetesore | 1 |
| Local Population | Female | because she has not receive a start up kit | 1 |
| Local Population | Female | bisnesi ka ekzistu me pare | 1 |
| Local Population | Female | biznesi eshte aktiv me vite | 1 |
| Local Population | Female | business was already in existence before I received the support | 1 |
| Local Population | Female | business was already in. existence before I reviewed the support | 1 |
| Local Population | Female | business was in existence before I received the support from you | 1 |
| Local Population | Female | busy is slow had to start something else | 1 |
| Local Population | Female | doing Job | 1 |
| Local Population | Female | duration for training wasn’t enough for a beginner like me. I need more training to be able to practice. | 1 |
| Local Population | Female | even though I have equipment’s to work by but i also need a place to start the work | 1 |
| Local Population | Female | family responsibilities | 1 |
| Local Population | Female | family strictness | 1 |
| Local Population | Female | financial support | 1 |
| Local Population | Female | haven’t had professional training yet. I received only the starter pack. they said provision was not made for my tuition fee | 1 |
| Local Population | Female | i already my business | 1 |
| Local Population | Female | i dont have enough cash | 1 |
| Local Population | Female | i need money to startup | 1 |
| Local Population | Female | imam u planu to kasnije | 1 |
| Local Population | Female | jo sepse nuk kam mundesi | 1 |
| Local Population | Female | just completed my training | 1 |
| Local Population | Female | ka operu me heret | 1 |
| Local Population | Female | ka qene ekzitues biznesi | 1 |
| Local Population | Female | kam fillu biznes mirepo nuk eshte si rezultat i perfitimit nga PME-ja | 1 |
| Local Population | Female | l am still practicing with personal events to sharpen my skills | 1 |
| Local Population | Female | lack business ideas | 1 |
| Local Population | Female | lack of market | 1 |
| Local Population | Female | lack of facilities | 1 |
| Local Population | Female | looking for a place to start | 1 |
| Local Population | Female | my business was already in existence before the giz training | 1 |
| Local Population | Female | my business was already jn existence | 1 |
| Local Population | Female | ne znam | 1 |
| Local Population | Female | nije mi to bila primarna ideja jer sam samohrana majka vec 3 godine, htela sam samo da nadjem nacin da radim | 1 |
| Local Population | Female | nisam bila spremna da pokrenem jer mislim da mi treba Jos obuke oko salona za masazu, fali mi iskustva I neko iskusan da me obuci.tako da Sam se zaposlila na pumpi jer mi je to siguran izvor prihoda I redovna plata | 1 |
| Local Population | Female | nisam ja za predizetnika | 1 |
| Local Population | Female | nisam jos zvanicno pokrenula al imam u planu | 1 |
| Local Population | Female | not too perfect at it moreover, items in kit were incomplete | 1 |
| Local Population | Female | nuk e ka pare te arsyeshme | 1 |
| Local Population | Female | nuk e kam marre hapin per krijimin e biznesit | 1 |
| Local Population | Female | nuk e kam marre persiper hapjen e nje biznesi | 1 |
| Local Population | Female | nuk e kam menduar te hap biznes | 1 |
| Local Population | Female | nuk kam gjetur staf te kualifikuar | 1 |
| Local Population | Female | nuk kam kohen e mjaftueshme,dhe te ardhurat | 1 |
| Local Population | Female | nuk kam pasur deshire | 1 |
| Local Population | Female | nuk kam pasur mundesi ekonomike | 1 |
| Local Population | Female | nuk kam pasur te ardhura | 1 |
| Local Population | Female | nuk kam patur idene e krijimit te nje biznesi. me pelqen puna qe bej | 1 |
| Local Population | Female | nuk kam patur ndermend te themeloj nje biznes | 1 |
| Local Population | Female | nuk kam tentuar | 1 |
| Local Population | Female | nuk kane pas mundesi | 1 |
| Local Population | Female | nuk kane qene te gjitha pajisjet | 1 |
| Local Population | Female | nuk kisha si qellim hapjen e nje biznesi | 1 |
| Local Population | Female | nuk kisha te ardhura per te filluar biznes | 1 |
| Local Population | Female | nuk me eshte dashur te hap nje biznes | 1 |
| Local Population | Female | people hardly assess the service since some learn the skill for free online to help themselves. I only use it once in a while for people. | 1 |
| Local Population | Female | samo mi je trebao sertifikat | 1 |
| Local Population | Female | sepse biznesi ka funksionu edhe me heret | 1 |
| Local Population | Female | she is still working under someone | 1 |
| Local Population | Female | she just receive a start up kits these pass night | 1 |
| Local Population | Female | she was already into fashion design business, the support helped improve her work | 1 |
| Local Population | Female | she was already into the cold store business, so the items she received helped boost her business. | 1 |
| Local Population | Female | start online teaching due to exposure gained from the training. | 1 |
| Local Population | Female | still learning from a mentor | 1 |
| Local Population | Female | still learning to acquire more skills | 1 |
| Local Population | Female | still learning to improve on skills and working to acquire advance accessories | 1 |
| Local Population | Female | still sharpening my skills | 1 |
| Local Population | Female | still working where i learnt to gather enough money to open mine | 1 |
| Local Population | Female | the grant was used to partner with her employer. | 1 |
| Local Population | Female | the respondent was not give any financial support or in kind support to start a business. she only attend SMD empolyability training. | 1 |
| Local Population | Female | the respondent was unable to have a business idea. | 1 |
| Local Population | Female | the support is been used to improve upon my already existing business | 1 |
| Local Population | Female | to get an advance gadget that will take quality pictures. | 1 |
| Local Population | Female | vec imamo firmu | 1 |
| Local Population | Female | vec sam imala svoju firmu | 1 |
| Local Population | Female | vec sam imala svoju firmu koju sam zatvorila | 1 |
| Local Population | Female | was already in the business | 1 |
| Local Population | Female | working for a pvt company | 1 |
| Local Population | Female | working in a pvt company | 1 |
| Local Population | Female | working under someone | 1 |
| Local Population | Female | zadovoljna sam poslom koji imam | 1 |
| Local Population | Female | zadovoljni smo poslom koji imamo | 1 |
| Local Population | Female | zaoislila sam se i odustala od svih planova koje sam imala kada sam bila u kontaktu sa tamarom | 1 |
| Local Population | Female | zaposlila sam se , a cilj je bio da odem u inostranstvo da radim pa nisam uspela | 1 |
| Local Population | Female | zaposlila sam se kod poslodavca,ali opremu koju sam dobila plakšala mi je pronalazak posla i na poslu radim sa svojim fotoapratom kao novinar | 1 |
| Local Population | Female | zaposlila sam se u drugoj firmi i radim drugi posao iz zdravstvenih razloga | 1 |
| Local Population | Female | zaposlila sam se u kurirskoj službi | 1 |
| Local Population | Female | zato sto sam vec radila, bila mi je bitna licenca | 1 |
| Local Population | Male | Financial constrains | 46 |
| Local Population | Male | not enough resources | 12 |
| Local Population | Male | لا لم يتلقى دعم إنشاء مشروع ولكنه تلقى دعم توضيف | 11 |
| Local Population | Male | Materials constrains | 8 |
| Local Population | Male | None | 6 |
| Local Population | Male | I am still learning | 2 |
| Local Population | Male | ANA EKONIMIKE JO E MJAFTUESHME | 1 |
| Local Population | Male | Already teaching | 1 |
| Local Population | Male | Because he was in the driving industry already | 1 |
| Local Population | Male | Biznezi ka qene ekzistues, ka marre vetem mbeshtetje financiare per rritje te biznesit | 1 |
| Local Population | Male | Does car tracking on a part-time basis. | 1 |
| Local Population | Male | Duhet pervoje ma e madhe per me hap biznesin. | 1 |
| Local Population | Male | ESHTE E VESHTIRE TE HAPESH BIZNES | 1 |
| Local Population | Male | He had already started his business before the training, he continued with it afterwards . | 1 |
| Local Population | Male | He had already started the farming business before the financial help was received a year after his training. | 1 |
| Local Population | Male | He was already into the Tilling business so he continued | 1 |
| Local Population | Male | He was already into the business | 1 |
| Local Population | Male | He was already into the electrical business | 1 |
| Local Population | Male | He was in graphics business already. | 1 |
| Local Population | Male | I DONT HAVE ENOUGH RESOUCES TO SET UP A PLACE FOR MYSELF | 1 |
| Local Population | Male | I already had a business before joining the training | 1 |
| Local Population | Male | I already had an existing business before the training | 1 |
| Local Population | Male | I did not get the support to start my own business | 1 |
| Local Population | Male | I don’t have a sponsor | 1 |
| Local Population | Male | I don’t have the financial support and equipments to start my own business | 1 |
| Local Population | Male | I dont have money to start my own business | 1 |
| Local Population | Male | I have registered it but i want to finish the course first | 1 |
| Local Population | Male | I still dont have money and equipment to start business | 1 |
| Local Population | Male | I want to do my diploma first before i start my own team. | 1 |
| Local Population | Male | I was already in the business before the training | 1 |
| Local Population | Male | I was already operating the business | 1 |
| Local Population | Male | I was already working with someone as an apprentice before coming to the institution | 1 |
| Local Population | Male | I work on contracts | 1 |
| Local Population | Male | I’m using the skill to support my work and I’m also perfecting in the skill through that. | 1 |
| Local Population | Male | Jam duke e menduar | 1 |
| Local Population | Male | Jam duke tentuar per hapjen e nje biznesi | 1 |
| Local Population | Male | KAM BISNES,POR E KAM THEMELUAR SHUME KOHE MNE PARA | 1 |
| Local Population | Male | Mjete jo te mjaftueshme | 1 |
| Local Population | Male | NUK KAM PAS INTERES | 1 |
| Local Population | Male | No money to start business | 1 |
| Local Population | Male | Nuk kam pasur deshire te filloje biznes | 1 |
| Local Population | Male | Nuk kam tentuar te hap biznes | 1 |
| Local Population | Male | PAMUNDESI EKONOMIKE | 1 |
| Local Population | Male | PER ARSYE MONETARE | 1 |
| Local Population | Male | PUNOJ NE NJE KOMPANI | 1 |
| Local Population | Male | Punoj ne nje pune tjeter ,por pajisjen e shfrytezoj vetem per sherbime personale. | 1 |
| Local Population | Male | SKA ARSYE | 1 |
| Local Population | Male | Sub Inspector Punjab Police | 1 |
| Local Population | Male | The respondent already had a business since 2016 | 1 |
| Local Population | Male | The respondent already has a business since 2018. He did not start it as a result of support from GIZ | 1 |
| Local Population | Male | The respondent got support from a relative. It was not a support from any organization | 1 |
| Local Population | Male | We don’t have the financial support | 1 |
| Local Population | Male | all the animals died | 1 |
| Local Population | Male | already had a running business | 1 |
| Local Population | Male | because the toolkit which I received that was damaged. it was useless. | 1 |
| Local Population | Male | beceause i do not have the start money | 1 |
| Local Population | Male | biznesi ishte aktiv me pare | 1 |
| Local Population | Male | biznesi ka ekzistuar edhe me pare | 1 |
| Local Population | Male | didn’t receive all the start up. so I could start | 1 |
| Local Population | Male | domestic challenges | 1 |
| Local Population | Male | financial support | 1 |
| Local Population | Male | he did not receive no support to start a business | 1 |
| Local Population | Male | he dont support from them | 1 |
| Local Population | Male | i already had my business running | 1 |
| Local Population | Male | i already started my business before the support came through. | 1 |
| Local Population | Male | i am still doing intern with a company | 1 |
| Local Population | Male | i am still going to school | 1 |
| Local Population | Male | i wanted to gain experience and also gather enough money to start up my own | 1 |
| Local Population | Male | incomplete toolkit | 1 |
| Local Population | Male | izgubio sam telefon i vise nisam mogao da stupim u kontakt sa vasom organizacijom ni na jednu temu | 1 |
| Local Population | Male | jam mire keshtu nuk kam deshire per biznes sepse nuk ka puna | 1 |
| Local Population | Male | jos sam mlad da bih imao svoju firmu | 1 |
| Local Population | Male | ka ne plan | 1 |
| Local Population | Male | koha , jam student | 1 |
| Local Population | Male | mos pasja e nje vlere monetare | 1 |
| Local Population | Male | most of the animals all died on arrival | 1 |
| Local Population | Male | mundesia ekonomike e papershtatshe | 1 |
| Local Population | Male | nemam alat i masine da bih poceo samostalno | 1 |
| Local Population | Male | nemam dovoljno para da se upustim u to | 1 |
| Local Population | Male | nemam sretstava za tako nesto | 1 |
| Local Population | Male | nije mi to bio cilj nikada | 1 |
| Local Population | Male | nije mi to bio cilj savetovanja nego smanjenje potrosene energije za grejanje | 1 |
| Local Population | Male | nisam dovrsio obuku zbog bolesti | 1 |
| Local Population | Male | nisam imao ovu meru. | 1 |
| Local Population | Male | nisam ni hteo to, hteo sam da mi pomognu da nabavim drva il da ostvarim neku pomoc kao borac prvog stepena | 1 |
| Local Population | Male | nisam to imao u planu | 1 |
| Local Population | Male | nisam to ni zelelo, htei sam da imam adekvatne sertifikate za rad | 1 |
| Local Population | Male | nisam to nikada zeleo | 1 |
| Local Population | Male | nisam zdravstveno sposoban | 1 |
| Local Population | Male | nismo dobili instrumente za rad | 1 |
| Local Population | Male | no he dont receive any support | 1 |
| Local Population | Male | no support was received | 1 |
| Local Population | Male | not any specific reason, using that toolkit in my job | 1 |
| Local Population | Male | nuk e kam pasur mundesine | 1 |
| Local Population | Male | nuk i kane mjaftu paisjet per me hap biznesin | 1 |
| Local Population | Male | nuk ka pas deshire me hap biznes | 1 |
| Local Population | Male | nuk ka pas mundesi | 1 |
| Local Population | Male | nuk ka qene e mundur | 1 |
| Local Population | Male | nuk kam nisur nje biznes | 1 |
| Local Population | Male | nuk kam mendim | 1 |
| Local Population | Male | nuk kam menduar te krijoj nje biznes timin | 1 |
| Local Population | Male | nuk kam pasur te ardhura | 1 |
| Local Population | Male | other reasons | 1 |
| Local Population | Male | part time job along with small contracts in Rawalpindi | 1 |
| Local Population | Male | per arsye personale eshte ne biznesin e babait | 1 |
| Local Population | Male | personal reasons | 1 |
| Local Population | Male | posle obuke sam se odmah zaposlio | 1 |
| Local Population | Male | procenio sad da jos nije vreme za to i da treba mnogo novca i mimo pomoci koju ne znam ni da li bih dobio | 1 |
| Local Population | Male | radim u jednoj firmi | 1 |
| Local Population | Male | situata ekonomike | 1 |
| Local Population | Male | still looking forward to starting one | 1 |
| Local Population | Male | the business was already in existence before giz support | 1 |
| Local Population | Male | the place I want to use for the startup is under construction | 1 |
| Local Population | Male | the respondent is financially constraint | 1 |
| Local Population | Male | the training found him on the business | 1 |
| Local Population | Male | to tek imam u planu | 1 |
| Local Population | Male | trenutno radim nesto gde mi znace sertifikat i obuka i ako ne vozim | 1 |
| Local Population | Male | was in the industry already | 1 |
| Local Population | Male | will start soon | 1 |
| Local Population | Male | work with a company as a result of skill llearnt | 1 |
| Local Population | Male | working as a driver with Political leader | 1 |
| Local Population | Male | working for different contractors on daily wages | 1 |
| Local Population | Male | working on contractual basis | 1 |
| Local Population | Male | works as a mechanic alone in his village. The shop was established by grandparents. | 1 |
| Local Population | Male | zapolio sam se u dobro firmi | 1 |
| Local Population | Male | zaposlio sa se u firmi gde sam dugo cekao sansu | 1 |
| Local Population | Male | zaposlio sam se kao vozac u apatinskoj pivari | 1 |
| Local Population | Male | zaposlio sam se odlicnoj firmi | 1 |
| Local Population | Male | zaposlio sam se u firmi za medjunarodni transport | 1 |
| Local Population | Male | zaposlio sam se u jenoj firmi | 1 |
| Local Population | Male | zaposlio sam se u mup-u | 1 |
| Local Population | Male | zaposlio sam se u odlicnoj firmi | 1 |
| Local Population | Male | zato sto sam se zaposlio u medjuvremenu i povremeno radim vise poslova | 1 |
| Migrants from GER | Female | لانه لم يتلقى دعم انشاء مشروع، ولكنه تلقى دعم توظيف | 7 |
| Migrants from GER | Female | Financial constrains | 2 |
| Migrants from GER | Female | None | 2 |
| Migrants from GER | Female | Biznesi ka qene funksional me heret | 1 |
| Migrants from GER | Female | DOJA DICKA IDISTRUALE , JO PROFESIONALE, JANE PER PERDORIM NE AMBJENTE SHTEPIE | 1 |
| Migrants from GER | Female | JAM SHTATZANE DHE NUK KAM PLAN BIZNESI | 1 |
| Migrants from GER | Female | MUNDESITE EKONOMIKE | 1 |
| Migrants from GER | Female | Me nevojiten edhe pajisje te tjera pasi qe nuk jane te mjaftueshme ato qe kam marre. | 1 |
| Migrants from GER | Female | NUK KEMI LEKE | 1 |
| Migrants from GER | Female | NUK KEMI TE ARDHURA,NUK E HAPIM DOT ME BORXHE DHE NUK KEMI ARSIMIN E DUHUR | 1 |
| Migrants from GER | Female | Nuk e di | 1 |
| Migrants from GER | Female | PAMUNDESI EKONOMIKE | 1 |
| Migrants from GER | Female | Svoj posao privatni smo već imali, odnosno firmu. | 1 |
| Migrants from GER | Female | e kam pasur biznesin para se te vija te Arsis | 1 |
| Migrants from GER | Female | e kisha e biznesin | 1 |
| Migrants from GER | Female | nemam dovoljno obrazovanja da bih smela da se upustim u to | 1 |
| Migrants from GER | Female | nije me vise niko zvao posle tog razgovora | 1 |
| Migrants from GER | Female | nije mi to bio cilj | 1 |
| Migrants from GER | Female | nisam ni imala to u planu | 1 |
| Migrants from GER | Female | nisam se ni prijavila za start ap | 1 |
| Migrants from GER | Female | nismo ni imali potrebe za time, hteli smo medicinsku i finansijsku pomoc za izlecenje deteta | 1 |
| Migrants from GER | Female | nismo ni trazili to, samo da imam neki posao | 1 |
| Migrants from GER | Female | nuk kam filluar ndonjehere biznes | 1 |
| Migrants from GER | Female | nuk e ka pas sukses ne punen e rrobaqepesise | 1 |
| Migrants from GER | Female | nuk e kam menduar | 1 |
| Migrants from GER | Female | nuk eshte provuar fare | 1 |
| Migrants from GER | Female | nuk jane te mjaftueshme | 1 |
| Migrants from GER | Female | nuk kam krijuar | 1 |
| Migrants from GER | Female | nuk kam pasur te ardhura | 1 |
| Migrants from GER | Female | nuk pata siguri ne hapjen e nje biznesi | 1 |
| Migrants from GER | Female | skam pasur mundesi | 1 |
| Migrants from GER | Female | te ardhuarat e pamjaftueshme | 1 |
| Migrants from GER | Female | to nije billa pocija, samo sam hteo da radim | 1 |
| Migrants from GER | Female | to nismo ni zeleli, hteli smo materijal da kuca u kojoj zivimo bude funkcionalna za stanovanje | 1 |
| Migrants from GER | Female | zaposlena sam vec a zelela sam da se dodatno edukujem jer imam supruga invalida | 1 |
| Migrants from GER | Female | zaposlila sam se kod poslodavca u prodavnici | 1 |
| Migrants from GER | Female | أعطيت زوجي حصتي من الدعم بهدف بناء مشروع خاص به يكون هو المسؤول الوحيد عنه | 1 |
| Migrants from GER | Female | بسبب قد تلقيت دعم وظيفي وليس بدء وتوسيع المشاريع | 1 |
| Migrants from GER | Female | حيث انني لم اتلقى دعم لإنشاء مشروع الدعم الذي تلقيته كان فقط دعم مالي لرسوم فصل دراسي | 1 |
| Migrants from GER | Female | لا لم يتلقى دعم إنشاء مشروع ولكنه تلقى دعم توضيف | 1 |
| Migrants from GER | Female | لان الدعم الذي استلمته دعم وظيفي | 1 |
| Migrants from GER | Female | لان الدعم الذي حصلت عليه دعم وظيفي | 1 |
| Migrants from GER | Female | لم يكن لدي المبلغ الكافي لعمل مشروع | 1 |
| Migrants from GER | Female | لم يكن هنالك مبلغ كافي من المال لتأسيس مشروع تجاري | 1 |
| Migrants from GER | Male | لانه لم يتلقى دعم انشاء مشروع، ولكنه تلقى دعم توظيف | 9 |
| Migrants from GER | Male | لا لم يتلقى دعم إنشاء مشروع ولكنه تلقى دعم توضيف | 8 |
| Migrants from GER | Male | Financial constrains | 6 |
| Migrants from GER | Male | لان الدعم الذي حصلت عليه هو دعم وظيفي | 5 |
| Migrants from GER | Male | بسبب قد تلقيت دعم وظيفي وليس بدء وتوسيع المشاريع | 4 |
| Migrants from GER | Male | المستجيب هو أحد مستفيدي الدعم الوظيفي | 3 |
| Migrants from GER | Male | ana monetare | 2 |
| Migrants from GER | Male | المستجيب هو احد مستفيدي الدعم الوظيفي | 2 |
| Migrants from GER | Male | بسبب قد تلقيت دعم وظيفي وليس بدء مشروع او توسيع مشروع | 2 |
| Migrants from GER | Male | لان الدعم الذي حصلت عليه دعم وظيفي | 2 |
| Migrants from GER | Male | لانه لم يتلقى دعم انشاء مشروع، ولكنه تلقى دعم توظيف | 2 |
| Migrants from GER | Male | لم يتم تجهيز المواد بالكامل | 2 |
| Migrants from GER | Male | Arsyet kane qene te ndryshme mjetet qe i kam kerkuar per hapjen e lokalin tim nuk kane ardhur kane ardhur mjete ne vlere as 100 euro me te cilat nuk mund te nisesh as edhe nje hap drej hapjes se biznesit. | 1 |
| Migrants from GER | Male | Ma kane ofru vetem nje kultivator | 1 |
| Migrants from GER | Male | Materials constrains | 1 |
| Migrants from GER | Male | Me nevojiten mjete shtese | 1 |
| Migrants from GER | Male | NUK KA TREG PUNE ATY KU JETOJ PER TE HAPUR NJE BIZNES | 1 |
| Migrants from GER | Male | NUK KAM PAISJE | 1 |
| Migrants from GER | Male | NUK KAM PASUR PARA MJAFTUESHEM | 1 |
| Migrants from GER | Male | Nisam dobio alat koji sam tražio, a i za pokretanje sopstvenog posla nisam zainteresovan, jer je to velika obaveza otvoriti i imati firmu. | 1 |
| Migrants from GER | Male | Not specific reason | 1 |
| Migrants from GER | Male | Nuk i ka pajisjet te gjitha | 1 |
| Migrants from GER | Male | Nuk kam pas mundesi te fuqizoj fuqin punetore | 1 |
| Migrants from GER | Male | Nuk kane qene mjetet e dhena as per te filluar hapat e pare | 1 |
| Migrants from GER | Male | Paisje jo mjaftueshem per te filluar nje biznes | 1 |
| Migrants from GER | Male | Per arsye qe ka qene pandemia dhe ka stagnu punen prej dy vitesh, poashtu mjetet qe i jane dhuru nuk kane qene ne perputhje me profesionin e tij sepse ka kerku pajisje per bujqesi, dhe per shkaqe te disa problemeve shendetesore. | 1 |
| Migrants from GER | Male | Per shkak se kam filluar te punoj ne nje pune tjeter dhe nuk kane qene mjetet e mjaftueshme per startimin e biznesit | 1 |
| Migrants from GER | Male | SKA MJETE TE MJAFTUESHME | 1 |
| Migrants from GER | Male | SKA PAISJE MJAFTUESHEM QE TE NISET BIZNESI | 1 |
| Migrants from GER | Male | Shume arsye (respodenti refuzon te cek cilat) | 1 |
| Migrants from GER | Male | Stand by: manque du matériel | 1 |
| Migrants from GER | Male | The individual is an engineer. doing private job | 1 |
| Migrants from GER | Male | Zbog nedostatka drugog alata, nije mi bilo to dovoljno, a nisam imao para da dokupim još. | 1 |
| Migrants from GER | Male | biznesi ka ekzistu edhe me heret | 1 |
| Migrants from GER | Male | business was already in existence | 1 |
| Migrants from GER | Male | cekao sam posao ugradskoj cistoci al sam se posle zaposlio u gradskom prevozu tako da vec sam radio a nemam ni para za preduzetnistvo | 1 |
| Migrants from GER | Male | e kam pasur biznesin para perfimit te masave | 1 |
| Migrants from GER | Male | en cours de lancement, attente de la réception de la subvention | 1 |
| Migrants from GER | Male | idem kod brata u nemacku na 90 dana i pokusavam tamo da nadjem neki posao a ovde radim sta stignem | 1 |
| Migrants from GER | Male | jednom su me odbili a onda sam ja shvatio kao to da nemam srece ili vezu ko to da mi pogura tako da san htei da konkurisem pa sam odustajao | 1 |
| Migrants from GER | Male | jer nikad nisam dobio nikakvu pomoc, nemam sa cime da otorim firmu | 1 |
| Migrants from GER | Male | ka qene i themeluar | 1 |
| Migrants from GER | Male | kam vazhduar bixnesin e familjes | 1 |
| Migrants from GER | Male | mundesia ekonomike e pamjaftueshme | 1 |
| Migrants from GER | Male | mungesa e fuqise punetore | 1 |
| Migrants from GER | Male | našao sam posao kod poslodavca ,radim kao korisnička podrška za nemački jezik | 1 |
| Migrants from GER | Male | nije mi to bio cilj | 1 |
| Migrants from GER | Male | nisam dobio novac podrske za kupovinu opreme bez koje ne mogu da radim | 1 |
| Migrants from GER | Male | nisam dobio podršku još uvek ,bili su rekli da će da mi obezbede frezu ,ali je nisam dobio,dobio sam građevinski materijal za sređivamje kuće | 1 |
| Migrants from GER | Male | nisam se prijavao z start ap posao već sam se zaposlio kod drugog poslodavca | 1 |
| Migrants from GER | Male | nuk e di | 1 |
| Migrants from GER | Male | nuk ka pas mjaftueshem per me hap biznes | 1 |
| Migrants from GER | Male | nuk ka pas paisje te mjaftueshme per me hap biznes | 1 |
| Migrants from GER | Male | nuk ka pase mundesi | 1 |
| Migrants from GER | Male | nuk kam dashur te hap biznis | 1 |
| Migrants from GER | Male | nuk kam pas sukses sepse punoj pune tjeter | 1 |
| Migrants from GER | Male | nuk kam pas te ardhura | 1 |
| Migrants from GER | Male | nuk kam pase mundesi | 1 |
| Migrants from GER | Male | nuk kam pasur mbeshtetje dhe te ardhura financiare te krijoje nje biznes | 1 |
| Migrants from GER | Male | nuk kam pasur mundesi te krijoje | 1 |
| Migrants from GER | Male | nuk kam pasur te ardhura te mjaftueshme | 1 |
| Migrants from GER | Male | nuk kan mjaftu qato paisje qe me ehap biznesin | 1 |
| Migrants from GER | Male | nuk kishte baze mbeshtetje | 1 |
| Migrants from GER | Male | otisao sam iz svog mesta da radim sezonski posao | 1 |
| Migrants from GER | Male | pomogli su mi u međuvremenu da se zaposlim u rudnik | 1 |
| Migrants from GER | Male | radim samostalno trenutno ili sezonske poslove, nemam sredstva da pokrenem firmu | 1 |
| Migrants from GER | Male | se skemi pas mjete te mjaftueshme | 1 |
| Migrants from GER | Male | shkaku qe pajisja nuk eshte e mjaftueshme | 1 |
| Migrants from GER | Male | ska pas paisje te mjaftueshme per me hap biznesin | 1 |
| Migrants from GER | Male | skem pas profit | 1 |
| Migrants from GER | Male | spremam se da se trajno preselim u nemacku | 1 |
| Migrants from GER | Male | stali su sa pomaganjem pa ja nemam jos sredstava da pokrenem sam nesto | 1 |
| Migrants from GER | Male | they gave me 15 blankets which were 3rd class in quality so I can’t start any business from them. | 1 |
| Migrants from GER | Male | they gave me uncompleted machines for the manufacturing of gloves that was useless. | 1 |
| Migrants from GER | Male | vec sam zaposlen a bio sam i pre toga | 1 |
| Migrants from GER | Male | već sam u međuvremenu našao sam posao | 1 |
| Migrants from GER | Male | zaposlio sa se u firmi | 1 |
| Migrants from GER | Male | zaposlio sam se | 1 |
| Migrants from GER | Male | zaposlio sam se i poceo master rad na fakultetu | 1 |
| Migrants from GER | Male | zaposlio sam se sam u medjuvremenu | 1 |
| Migrants from GER | Male | zaposlio sam se u javnom sektoru | 1 |
| Migrants from GER | Male | zaposlio sam se u rudnik | 1 |
| Migrants from GER | Male | zato sto me niko vise nije pozvao iz vase organizacije | 1 |
| Migrants from GER | Male | استلمت الدعم المالي ، ولكن سلمته الى اخي بهدف فتح مشروع خاص به يكون هو المسؤول الوحيد عنه ،، فقد كنت أعمل بمجال اخر حينذاك | 1 |
| Migrants from GER | Male | الأجور خلال فتره العقد في العمل غير كافية لعمل مشروع ما | 1 |
| Migrants from GER | Male | الدعم وظيفي | 1 |
| Migrants from GER | Male | بسبب مرض زوجتي فقد استنفذت مال الدعم الذي حصلت عليه في توفير العلاج اللازم لوضعها الصحي المتدهور | 1 |
| Migrants from GER | Male | بسبب نقص المال | 1 |
| Migrants from GER | Male | تلقيت توظيف ولم اتلقى جلسات استشاره كافيه لا تمكن من فتح مشروعي الخاص بعد الاستفادة من الوظيفه | 1 |
| Migrants from GER | Male | توضيف | 1 |
| Migrants from GER | Male | حيث انني لم اتلقى دعم لإنشاء مشروع الدعم الذي تلقيته كان فقط دعم مالي لرسوم فصل دراسي | 1 |
| Migrants from GER | Male | دعم وظيفي | 1 |
| Migrants from GER | Male | صاحب الشركة الأهلية لم يجدد عقدنا | 1 |
| Migrants from GER | Male | صرفت المال في علاج امي | 1 |
| Migrants from GER | Male | كان المبلغ قليل وكان سبب في فشل المشروع التجاري | 1 |
| Migrants from GER | Male | لان الأدوات الإلكترونية التابعة لمنحة توسعة المشاريع و التي تم شرائها لي كانت رديئة جدا وقطعة واحدة فقط وبالتالي لم استطيع فتح المشروع بقطعة واحدة فقط | 1 |
| Migrants from GER | Male | لان الدعم الذي تلقيته دعم وظيفي | 1 |
| Migrants from GER | Male | لاني الدعم الذي استلمته دعم نفسي | 1 |
| Migrants from GER | Male | لم يكن لدي المال الكافي لإنشاء مشروع خاص بي عملي كان عمل مقابل نقد مرتب شهري | 1 |
| Migrants from GER | Male | ليس لدي القدرة | 1 |
| Migrants from GER | Male | ليس لدي مبلغ كافي لإنشاء مشروع عملي كان براتب شهري فقط | 1 |
| Migrants from GER | Male | مبلغ الدعم لم يكن كافيا لفتح مشروع ناجح | 1 |
| Migrants from GER | Male | هو من مستفيدي الدعم الوظيفي | 1 |
| Migrants from third countries | Female | Financial constrains | 8 |
| Migrants from third countries | Female | لا لم يتلقى دعم إنشاء مشروع ولكنه تلقى دعم توضيف | 2 |
| Migrants from third countries | Female | لان الدعم الذي استلمته دعم وظيفي | 2 |
| Migrants from third countries | Female | لان الدعم الذي حصلت عليه هو دعم وظيفي | 2 |
| Migrants from third countries | Female | لانه لم يتلقى دعم انشاء مشروع، ولكنه تلقى دعم توظيف | 2 |
| Migrants from third countries | Female | Doing Job | 1 |
| Migrants from third countries | Female | I didn’t receive the support promised | 1 |
| Migrants from third countries | Female | No support yet | 1 |
| Migrants from third countries | Female | The project required a larger financial support compared to the amount received | 1 |
| Migrants from third countries | Female | The startup kit was too small to start anything | 1 |
| Migrants from third countries | Female | i alredy had a functioning business | 1 |
| Migrants from third countries | Female | i have not receive any financial support to start a business. i have business idea but no support to start. | 1 |
| Migrants from third countries | Female | ja sam uspešno pokrenula posao ,ali iz sopstvenih sredstava a ne od pomoći dimarka | 1 |
| Migrants from third countries | Female | ka ekzistu me heret | 1 |
| Migrants from third countries | Female | lack marking platforms for foreign writers | 1 |
| Migrants from third countries | Female | no monetary support | 1 |
| Migrants from third countries | Female | nuk e di | 1 |
| Migrants from third countries | Female | nuk kam patur te ardhura | 1 |
| Migrants from third countries | Female | radim po pojektima kod raznih poslodavaca | 1 |
| Migrants from third countries | Female | se kam qene e punesuar diku | 1 |
| Migrants from third countries | Female | se nuk ka buxhet te mjaftueshem si dhe makine | 1 |
| Migrants from third countries | Female | the type of training that was given to me was not enough and cannot be used in community in which I stay so I had to enroll somewhere else and learn more | 1 |
| Migrants from third countries | Female | zaposlila sam se kod poslodavca nije mi bila potrebna pomoć za posao | 1 |
| Migrants from third countries | Female | أعطيت المال لزوجي لفتح المشروع | 1 |
| Migrants from third countries | Female | المبلغ لم يكن كافيا | 1 |
| Migrants from third countries | Female | بسبب الديون مما اضطرهم إلى بيع أنابيب الغاز وإعطاء مبلغها للدائنون | 1 |
| Migrants from third countries | Female | بسبب ان زوجها من قام بالعمل بالمنحة | 1 |
| Migrants from third countries | Female | بسبب قد تلقيت دعم وظيفي ( عقد محدد ) وليس توسيع مشروع او بدء مشروع | 1 |
| Migrants from third countries | Female | بسبب قد تلقيت دعم وظيفي وليس بدء وتوسيع المشاريع | 1 |
| Migrants from third countries | Female | سلمت المال لزوجي لدعم مشروعه | 1 |
| Migrants from third countries | Female | كنت أعمل موظفة | 1 |
| Migrants from third countries | Female | ليس لدي القدرة على ذلك الدخل الشهري كان لايكفي لإنشاء مشروع عمل | 1 |
| Migrants from third countries | Female | وهبت الدعم الخاص بي لأولادي لبناء مستقبل لهم | 1 |
| Migrants from third countries | Male | Financial constrains | 23 |
| Migrants from third countries | Male | لانه لم يتلقى دعم انشاء مشروع، ولكنه تلقى دعم توظيف | 21 |
| Migrants from third countries | Male | not enough resources | 14 |
| Migrants from third countries | Male | لا لم يتلقى دعم إنشاء مشروع ولكنه تلقى دعم توضيف | 8 |
| Migrants from third countries | Male | بسبب قد تلقيت دعم وظيفي وليس بدء وتوسيع المشاريع | 5 |
| Migrants from third countries | Male | لا، لاني لم استلم دعم مشروع .. استلمت فقط دعم توظيف | 5 |
| Migrants from third countries | Male | لان الدعم الذي حصلت عليه هو دعم وظيفي | 5 |
| Migrants from third countries | Male | لان الدعم الذي استلمته دعم وظيفي | 3 |
| Migrants from third countries | Male | Materials constrains | 2 |
| Migrants from third countries | Male | None | 2 |
| Migrants from third countries | Male | المستجيب هو أحد مستفيدي الدعم الوظيفي | 2 |
| Migrants from third countries | Male | Already Working as a freelancer before training | 1 |
| Migrants from third countries | Male | EKONOMI JO PERSHTATSHEM PER TE HAPUR BIZNES | 1 |
| Migrants from third countries | Male | I am a machinic by profession but I received a toll kit of mesary. | 1 |
| Migrants from third countries | Male | I am already employed but I didn’t receive any tool kit. | 1 |
| Migrants from third countries | Male | I did my MPhil and I got admission in PHD so I continue my studies. and can’t start any business. | 1 |
| Migrants from third countries | Male | I don’t have support financially from anyone. I only have a wheel barrow. | 1 |
| Migrants from third countries | Male | I don’t have the capacity to take loans or get financial support from other individuals. | 1 |
| Migrants from third countries | Male | I dont have cash | 1 |
| Migrants from third countries | Male | I supported myself to start the business, it was not as a result of organizational support | 1 |
| Migrants from third countries | Male | NUK E PAM PROVUAR | 1 |
| Migrants from third countries | Male | SISTEMI JO I PERSHTEME DREJTESIE | 1 |
| Migrants from third countries | Male | The amount received is not sufficient to start a project | 1 |
| Migrants from third countries | Male | The company gave me one boxing gloves machine and one table but that machine was not completed only the upper body they provided so that I couldn’t start my own business. | 1 |
| Migrants from third countries | Male | The family already has a shop of electronics. works there | 1 |
| Migrants from third countries | Male | already had one ongoing | 1 |
| Migrants from third countries | Male | already has a shop in village | 1 |
| Migrants from third countries | Male | already have an agricultural land | 1 |
| Migrants from third countries | Male | already have my business | 1 |
| Migrants from third countries | Male | already working in uncle’s shop | 1 |
| Migrants from third countries | Male | already working on contracts | 1 |
| Migrants from third countries | Male | because the toolkit which I received wasn’t related to my profession. | 1 |
| Migrants from third countries | Male | domestic problems. | 1 |
| Migrants from third countries | Male | due to an incomplete toolkit. | 1 |
| Migrants from third countries | Male | e kisha biznesin | 1 |
| Migrants from third countries | Male | he have not receive support to start a business , after attending the long term traning. he is financially constraint to start a business. | 1 |
| Migrants from third countries | Male | my start up kit was stolen | 1 |
| Migrants from third countries | Male | niko vise nije nije ni zvao a nije bio samo to u pitanju | 1 |
| Migrants from third countries | Male | no because he dont receive a physical cash to creat a start up | 1 |
| Migrants from third countries | Male | not enough resources, working in the Admin office | 1 |
| Migrants from third countries | Male | nuk e di | 1 |
| Migrants from third countries | Male | nuk i keni pase pajisjet e duhura | 1 |
| Migrants from third countries | Male | nuk ka te ardhura te mjaftueshme ,taksa te larta | 1 |
| Migrants from third countries | Male | nuk kam mundesi financiare | 1 |
| Migrants from third countries | Male | nuk kam patur deshire per te themeluar biznes | 1 |
| Migrants from third countries | Male | other reasons | 1 |
| Migrants from third countries | Male | other responsibilities | 1 |
| Migrants from third countries | Male | rent fee is too high. and not favourable to start his business. | 1 |
| Migrants from third countries | Male | the respondent do not have any financial support to start his business. | 1 |
| Migrants from third countries | Male | want to start Further Studies now | 1 |
| Migrants from third countries | Male | will Start within 2-3 months | 1 |
| Migrants from third countries | Male | working in a Private network company. | 1 |
| Migrants from third countries | Male | working in a housing society | 1 |
| Migrants from third countries | Male | working on contracts in Abbottabad and Murree | 1 |
| Migrants from third countries | Male | zaposlio Sam se u rudniku | 1 |
| Migrants from third countries | Male | اسباب لا تتعلق بدعم برنامج الهجرة من أجل التنمية ، فشل المشروع لأسباب شخصية | 1 |
| Migrants from third countries | Male | الدعم الذي تلقيته دعم نفسي | 1 |
| Migrants from third countries | Male | الدعم وظيفي | 1 |
| Migrants from third countries | Male | المبلغ المستلم من المنظمة غير كافي لإنشاء مشروع خاص بي | 1 |
| Migrants from third countries | Male | المبلغ لم يكن كافيا اطلاقا | 1 |
| Migrants from third countries | Male | المستجاب هو أحد مستفيدي الدعم الوظيفي | 1 |
| Migrants from third countries | Male | المستجيب من مستفيدي الدعم الوضيفي وقد قال الراتب الشهري المخصص الي لا يساعد على انشاء مشروع مستقل لوحدي | 1 |
| Migrants from third countries | Male | بارو دۆخی ئابوری وڵات | 1 |
| Migrants from third countries | Male | بري پارەی وەرگیراو | 1 |
| Migrants from third countries | Male | بسبب الوضع المادي قليل و مسافة الطريق والايجار المحل | 1 |
| Migrants from third countries | Male | بسبب قد تلقيت دعم وظيفي وليس توسيع وبدء المشاريع | 1 |
| Migrants from third countries | Male | بسبب قلة الدعم والمبلغ كان قليلا قمت بشراء أنابيب غاز وبيعها | 1 |
| Migrants from third countries | Male | لأن الدعم الذي حصلت عليه هو دعم وظيفي | 1 |
| Migrants from third countries | Male | لا أملك سيولة نقدية تساعدني على فتح مشروع تجاري عملت بأجر شهري عقد في متجر لبيع مواد التجميل | 1 |
| Migrants from third countries | Male | لا، لاني لم استلم دعم مشروع .فقط دعم توظيف | 1 |
| Migrants from third countries | Male | لان الدعم الذي حصلت عليه دعم وظيفي | 1 |
| Migrants from third countries | Male | لان الدعم الذي حصلت عليه هو دعم نفسي | 1 |
| Migrants from third countries | Male | لان تجهيز الأدوات التي حصلت عليها من الدعم كانت رديئة و قليلة جدا | 1 |
| Migrants from third countries | Male | لم يتم تجهيز المواد بالكامل | 1 |
| Migrants from third countries | Male | لم يكن لدي مبلغ كافي من المال لإنشاء مشروع يحتاج إلى مبلغ عالي لكي يتم عملي كان باجر شهري بسيط لكن حققت منه منفعة | 1 |
| Migrants from third countries | Male | ليس لدي المبلغ الكافي لإنشاء مشروع خاص بي | 1 |
| Migrants from third countries | Male | ليس لدي المبلغ الكافي لعمل مشروع تجاري عملي كان بمرتب شهري يدفع من قبل صاحب المحل والمنظمة | 1 |
| Migrants from third countries | Male | ليس لدي مبلغ كافي من الأجور المستلمة لإنشاء شركة | 1 |
| Migrants from third countries | Male | مبلغ الدعم لم يكن كافيا لإنشاء مشروع ناجح | 1 |